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Paper Citation Record · LEDGER

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost

As of 16 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2509.01157.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.01157 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:55:36.286226Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact1
  • verified fuzzy70
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34624d9e-6fdb-4a4e-a1ca-c2f39652bcd1 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:35.698025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:35.698025Z digest=sha256:c3c52123d7ccdeaee63168eb677fafebb612f2fdcbc5083f9d75f7359f006bb2

Observation 600cfcae-41f9-4caf-bbe9-9a0810dc2862 · outbound

This paper cites Enhancing multi-view pedestrian detection through generalized 3D feature pulling.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Enhancing multi-view pedestrian detection through generalized 3D feature pulling

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:35.706815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:35.706815Z digest=sha256:0bcece9ab4e4255867eec713b2b16b6d30e13f393c27bad300a9718e9c6045ee

Observation 0b9651a9-25c6-413a-96a8-5a42aaff4741 · outbound

This paper cites Deep oc- clusion reasoning for multi-camera multi-target detection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Deep oc- clusion reasoning for multi-camera multi-target detection

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:40.431457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.717393Z digest=sha256:8859128f50e4111596e66d19979e9e544365adf48b1770e8186168135879b9a4

Observation ecdb335a-f87d-4c73-a92e-6700e7837a54 · outbound

This paper cites Berclaz, F.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Berclaz, F

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:40.293495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.727411Z digest=sha256:ddfdb6f80f4632cf2674b963fb85d9dbe263514b8f701375c123c741f90b6a68

Observation b7f800fb-a58f-4665-8f05-63e16268f6cc · outbound

This paper cites Learning a neural solver for multiple object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Learning a neural solver for multiple object tracking

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:40.212852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.735304Z digest=sha256:2fd2c0534f88a384b218ae2368195611f237cfc802e62d3e601b23d8cb006064

Observation cd89e581-58ae-47d2-afe1-72b60804db3b · outbound

This paper cites End-to- end object detection with transformers.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost End-to- end object detection with transformers

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:40.085854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.742793Z digest=sha256:f484fbb4ffe42417c5fea36af700db0b24bafe580caabf74fb5c883b449c77ed

Observation fc8c994d-babc-4746-becc-8df1dc93e839 · outbound

This paper cites Uni- fying short and long-term tracking with graph hierarchies.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Uni- fying short and long-term tracking with graph hierarchies

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.995170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.750252Z digest=sha256:4aca9154b9289aa7fe7dc594eefd0a81d80e26bd7c492c2d4b1933ff06bc0c90

Observation cfaa2b4f-e652-425c-9e91-4ed1245132b8 · outbound

This paper cites Deep multi- camera people detection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Deep multi- camera people detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.901555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.758683Z digest=sha256:b3677f790bb3cb1a75ded6051ce0ed9a85d8ed690f74229d4fd721d4ab85d5bc

Observation de85213c-0756-44c1-87d3-6e2e7116c0e1 · outbound

This paper cites Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.808247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.770137Z digest=sha256:11e58f5e34ac2fdafd8d9dab293765d3dce068e2f08decb318f43e7470e1ae31

Observation 0adb53f3-d32e-49f8-a2eb-63b341c56bcd · outbound

This paper cites ReST: A reconfigurable spatial-temporal graph model for multi-camera multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost ReST: A reconfigurable spatial-temporal graph model for multi-camera multi-object tracking

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.731628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.781380Z digest=sha256:7ea62682a8fb62e3ffb888724936cc38f176266a0d7d9f977dbba5ba172b8f94

Observation 5360c862-422e-4af6-814c-69e45b778612 · outbound

This paper cites Online multi- camera people tracking with spatial-temporal mechanism and anchor-feature hierarchical clustering.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Online multi- camera people tracking with spatial-temporal mechanism and anchor-feature hierarchical clustering

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.636002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.792957Z digest=sha256:7c42884ecdf9b7696ca0b57634e37ee9075d9f9db8678f6fa7be7db4e932f637

Observation d60df150-b700-495d-8394-e366788844fe · outbound

This paper cites SportsMOT: A large multi- object tracking dataset in multiple sports scenes.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost SportsMOT: A large multi- object tracking dataset in multiple sports scenes

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.541782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.801594Z digest=sha256:7922972d7dc8c5d0853afc0fbe1e1ebff8c95809fdc3a0198d29b6e2f895a002

Observation 68e3f703-6f5c-49ae-ae91-22cd279a9a8e · outbound

This paper cites Learning a proposal classifier for multiple object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Learning a proposal classifier for multiple object tracking

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.451747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.807592Z digest=sha256:30929b11f259e52ff3b67a046b826ac8923971ab867149b6e23cdc6761e0124e

Observation b9173fe7-ede1-47b7-a3cd-2ab3dd4a5150 · outbound

This paper cites Resource-efficient multiview percep- tion: Integrating semantic masking with masked autoen- coders.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Resource-efficient multiview percep- tion: Integrating semantic masking with masked autoen- coders

Reference 14

Resolution
verified exact
raw_fallback, observed 2026-08-05T12:55:36.770413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.827985Z digest=sha256:eeabd28494c38dc3fa94b47e2efebf1dd03cbc6c8d80111ac8e0df8612be4d74

Observation 9f1a7084-befe-45fb-8fc9-e8b6cda382dd · outbound

This paper cites MOT20: A benchmark for multi object tracking in crowded scenes.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MOT20: A benchmark for multi object tracking in crowded scenes

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:35.836178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:35.836178Z digest=sha256:c50ff5e12eb00d59c7d959a256325cad43e1b3429248ef465b435d6467f39e19

Observation 4bd57ad7-5997-497e-8a89-abd7110dfa10 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost ImageNet: A large-scale hierarchical image database

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.352787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.846014Z digest=sha256:8e0ce01975ae13df36bbaad8f31bf2f8de0ac395f56cc43601ac5d42a5cbaccb

Observation b2473536-5982-4c37-8e00-d4afb02cc346 · outbound

This paper cites GIAOTracker: A compre- hensive framework for mcmot with global information and optimizing strategies in visdrone 2021.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost GIAOTracker: A compre- hensive framework for mcmot with global information and optimizing strategies in visdrone 2021

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.213113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.852804Z digest=sha256:47647a66f0c585e8e75b0646073670b226c745dcd16c22223344e8d5d22837b1

Observation 55efeecb-5a3c-46ab-8e1c-0491ffb4159f · outbound

This paper cites StrongSORT: Make deepsort great again.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost StrongSORT: Make deepsort great again

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.112787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.863372Z digest=sha256:eb2a9bfd29da593a0fb4c15b43ed0f382750e4c0ecb2089d9d9eeae7cc2ad68a

Observation df5cb951-5ab9-4981-9048-50ab30f44b27 · outbound

This paper cites Multi-object detection and track- ing (MODT) machine learning model for real-time video surveillance systems.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi-object detection and track- ing (MODT) machine learning model for real-time video surveillance systems

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:39.034283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.868675Z digest=sha256:4981ebc364cb1c912afe4ad0dfb5058387510c1266b0ca8dbf14f010b70fc290

Observation 0de4cb65-e615-43d7-bd84-42673d8302ab · outbound

This paper cites Multi-view tracking using weakly supervised human motion prediction.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi-view tracking using weakly supervised human motion prediction

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.948045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.873621Z digest=sha256:84b8ef774055879013bdb48d302bd5dd479057723ceb729cc4f2e603ee6d09d9

Observation 5a69f601-9b35-4139-be34-4574dbf118da · outbound

This paper cites Two-level data augmentation for calibrated multi-view de- tection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Two-level data augmentation for calibrated multi-view de- tection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.865724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.877899Z digest=sha256:922f1f1c1a3ac584ff77bf5ee85b976c4e3e0efefe829b6ab6f0f1f1719bbf55

Observation 79a127c1-7da7-4ffa-ab64-c77fdccc837e · outbound

This paper cites Homography based multiple camera detection and tracking of people in a dense crowd.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Homography based multiple camera detection and tracking of people in a dense crowd

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.733051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.883240Z digest=sha256:60bb43477a450c9b1f007e79301285a704ecbb1aa818162720664d73dba4070c

Observation 245ec55d-6ee3-4f8e-b3e7-3d3b2ff1caad · outbound

This paper cites Unveiling the power of self-supervision for multi-view multi-human association and tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Unveiling the power of self-supervision for multi-view multi-human association and tracking

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.613412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.888639Z digest=sha256:b950516d5fd61b2121c396d33ac307d7e495c63c385ba6f5c535357621eb5563

Observation afb59f6d-258e-44aa-a809-cc431bda4cf9 · outbound

This paper cites PETS2009: Dataset and challenge.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost PETS2009: Dataset and challenge

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.494425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.899713Z digest=sha256:b43a712770a540bd81f0ae73ecbeaf3a4a9bcc96f153a95f9f369d544132ca0a

Observation 379e5ccd-eba4-46b7-9050-2fc6598a161a · outbound

This paper cites Multicamera people tracking with a probabilistic occupancy map.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multicamera people tracking with a probabilistic occupancy map

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.397366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.906467Z digest=sha256:e161197e46ed53a05fe9feb4ed63850863bdfa0dd6ce419abbf02b71213ebcde

Observation ebf905b9-2b50-4c1b-ba3c-7034f9c77ecc · outbound

This paper cites Multi-object tracking as attention mechanism.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi-object tracking as attention mechanism

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.301525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.915950Z digest=sha256:da28f8fe45f3f055fd6fbc12d9e3ba7b83b39a23a6b0e5fc1289e108e5571db7

Observation 5a80b65f-35f1-4dee-8807-7a2e629240b2 · outbound

This paper cites Multiple human association and tracking from ego- centric and complementary top views.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multiple human association and tracking from ego- centric and complementary top views

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.251226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.928383Z digest=sha256:4a5f73635f1c646bff0bf7873b4ae78e8c326992d5ad7e3be75ff601a02aab8e

Observation 6195b1f2-b7ed-4624-90a6-94d12501cb60 · outbound

This paper cites Benchmarking the complementary- view multi-human association and tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Benchmarking the complementary- view multi-human association and tracking

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.162244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.935593Z digest=sha256:e6c6516c8385d5a100ab4c7198479634efeed4f341b4277982deb99052821778

Observation 9ef4cd81-ee53-4aaa-8bd8-8903450afec5 · outbound

This paper cites Deep residual learning for image recognition.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Deep residual learning for image recognition

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:35.940657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:35.940657Z digest=sha256:9f09ab619e9fb43caf9b66d45e1774fdb2040d73b55f4820972de3476fd675a3

Observation 164ef92b-36ef-4356-b250-056c1c97c158 · outbound

This paper cites Hyper- graphs for joint multi-view reconstruction and multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Hyper- graphs for joint multi-view reconstruction and multi-object tracking

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:38.009369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.945563Z digest=sha256:990cae318a41143a6ad16295c33b6aad4f1556b571730d383a4f2eb944406e31

Observation 51b46623-a3c7-4ea2-8b0a-c59a4f444629 · outbound

This paper cites Multiview detection with shadow transformer (and view-coherent data augmentation).

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multiview detection with shadow transformer (and view-coherent data augmentation)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.921938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.952603Z digest=sha256:5e4a7b5dd85efcb5341db7de9feff852724df2a9230e21f6427b70e339b5dd23

Observation b61bbbe2-1d73-4a25-8395-9c5600aacf6f · outbound

This paper cites Multiview detection with feature perspective transformation.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multiview detection with feature perspective transformation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.873453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.957057Z digest=sha256:0c79899ff4db25395c2dc2fc46a48b0cef29485e2d0bbe0504b178c9f88f5565

Observation e3c711de-6b7f-40cf-9e79-d30f1f8d0441 · outbound

This paper cites Principal axis-based correspon- dence between multiple cameras for people tracking.TPAMI,.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Principal axis-based correspon- dence between multiple cameras for people tracking.TPAMI,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.837841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.964161Z digest=sha256:c7b0d506b9d49c923914c974d6778c2b704604a109579c7e89ddcc1268e7b42f

Observation ac5efe6f-6379-4b24-ab1e-a7a081f84d2f · outbound

This paper cites Multiple target tracking by learning-based hierarchical association of detection responses.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multiple target tracking by learning-based hierarchical association of detection responses

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.802929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.970864Z digest=sha256:1f2e8387e59575457e37a33171e0ef0cf2f31dc6df2f6b6ab299bb9e0a147b6c

Observation e9e4c053-674a-4f3e-9106-8da3d83c48d8 · outbound

This paper cites an unresolved cited work.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:55:37.760854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.977492Z digest=sha256:afebe6dfc15a232aefdb83c7d09bf222b2b621435d272638fd27f4626868c68a

Observation 7f8e264e-f59e-4d6f-876b-c350a64c2d7e · outbound

This paper cites A new approach to linear filtering and prediction problems.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost A new approach to linear filtering and prediction problems

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.720291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:35.989272Z digest=sha256:19fbf8353f2ad9a50d549a2914c6d71c6210195835af919e7ec90910cc76a69c

Observation 6812dc9e-4884-42ac-b145-9977f06c13a5 · outbound

This paper cites Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.684008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.001124Z digest=sha256:99127e20c3e321cec4678db4048833b56144c0747b268a3139b693579a64a39f

Observation fcce5478-51ad-4ccf-9968-e94bba831136 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.655481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.011213Z digest=sha256:9c277bff72fe3826d79376c28824a399e575588c698aa4a40886bee6a47366ba

Observation a6e0b30d-e555-4326-85cf-5b61b9424ae0 · outbound

This paper cites The hungarian method for the assignment problem.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost The hungarian method for the assignment problem

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.628051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.017459Z digest=sha256:1b6dd1dac81863b25a4ddb247d9babfdb67b52f7fc749671659d610e4f5e75e8

Observation 8457b26d-63fc-423d-a575-663eba0413b1 · outbound

This paper cites Multi- view target transformation for pedestrian detection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi- view target transformation for pedestrian detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.607361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.025058Z digest=sha256:cbde53d25cbd20e48e7b4d81b7638c47e42d93f01b65dca913227893a0072ea0

Observation bff8a495-d3d5-4117-9786-343a89f24ca6 · outbound

This paper cites Cou- pled detection and trajectory estimation for multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Cou- pled detection and trajectory estimation for multi-object tracking

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.582824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.032925Z digest=sha256:bb5424c62e6db1294999434a7ed698af7132f9224b82112843cb13ca5f890992

Observation 0b77ae92-15cd-434f-acf0-b4d98450e97f · outbound

This paper cites Loshchilov and F.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Loshchilov and F

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.560710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.040839Z digest=sha256:676f09618c451ec1bab6f5aa1b8630fa9d07de3a87b15e11ff673401370b17b2

Observation 5e79a116-f99a-4f37-be5d-3b461a393c08 · outbound

This paper cites HOTA: A higher order metric for evaluating multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost HOTA: A higher order metric for evaluating multi-object tracking

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.532267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.052431Z digest=sha256:ef553dc95638f12ee02b48a5e1d91c750951fe1628bc3182cbb9918e36fcf894

Observation 9410bb73-441f-462f-a6d4-718e193a1f73 · outbound

This paper cites TrackFormer: Multi-object track- ing with transformers.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost TrackFormer: Multi-object track- ing with transformers

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.512719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.057965Z digest=sha256:c3b837606e4fff000dc12245eab698dda91ef7ee05caf1e38028405ecd2888e6

Observation c5541ce8-a7af-469b-ae49-0020e5dc4d98 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MOT16: A Benchmark for Multi-Object Tracking

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:36.062983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:36.062983Z digest=sha256:2877b780427ffa9b2658e508a3e8a454e9f6083fa10fa3c78e2aaea419c1e3d9

Observation 54dd2fa6-f88b-43ed-8a3b-372053bf484e · outbound

This paper cites LMGP: Lifted multicut meets geometry projections for multi-camera multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost LMGP: Lifted multicut meets geometry projections for multi-camera multi-object tracking

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.495113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.067877Z digest=sha256:b0912803bee43311ccbc37dcb8554ab16ced7108cb9f3ac4f2e13e9fcc4703b2

Observation 46802eb0-685f-4015-ad95-a861e79f98eb · outbound

This paper cites MCTR: Multi camera tracking transformer.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MCTR: Multi camera tracking transformer

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:36.073690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:36.073690Z digest=sha256:4b48f33f74fe09aac982127b8f33cf2c7839df251d4d8fa58ed3643c2eecd40e

Observation 55b6022f-2b65-45a7-a639-cbcdd5d89be2 · outbound

This paper cites A bayesian filter for multi-view 3D multi- object tracking with occlusion handling.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost A bayesian filter for multi-view 3D multi- object tracking with occlusion handling

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.475229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.078572Z digest=sha256:1752d1b88efe281f92d5bfaf92dbd949ae3a9eee9ebefd866e8ce24994d18747

Observation b39b5838-0a8f-4e29-b641-e69f0248f96e · outbound

This paper cites Multi-object tracking through simultaneous long occlusions and split-merge conditions.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi-object tracking through simultaneous long occlusions and split-merge conditions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.452435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.084932Z digest=sha256:fca5350eca522c02e89a25b67ff2f34ecaf9c93ced724338fc231acc6af73a62

Observation 1ce281b7-0ab0-41f1-9d80-46b6d3fdcd34 · outbound

This paper cites From a bird’s eye view to see: Joint camera and subject registration without the camera calibration.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost From a bird’s eye view to see: Joint camera and subject registration without the camera calibration

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.411573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.091419Z digest=sha256:d99ad005f18041f821d9658280c18338076f92783b9503848eb62e8ddf2af9cc

Observation 3fc97ae9-7f5a-447f-ab1a-a401e00974a2 · outbound

This paper cites MotionTrack: Learning robust short- term and long-term motions for multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MotionTrack: Learning robust short- term and long-term motions for multi-object tracking

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.393805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.096232Z digest=sha256:aa131d6c74c51e0cebc42e4b586e256e7f55c217da1f0fbc174b0f895cc8f35a

Observation e8b68e5c-e3dd-46ec-b699-bbae19a69115 · outbound

This paper cites 3D random occlusion and multi-layer projection for deep multi-camera pedestrian localization.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost 3D random occlusion and multi-layer projection for deep multi-camera pedestrian localization

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.372524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.101944Z digest=sha256:c5d0383a34c4f901d40d15ad8715f69d8ab2424027eabebefafac469650eae3e

Observation f56d5337-78e6-41d3-93c9-8522334789d8 · outbound

This paper cites DyGLIP: A dynamic graph model with link prediction for accurate multi-camera multiple object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost DyGLIP: A dynamic graph model with link prediction for accurate multi-camera multiple object tracking

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.348425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.107186Z digest=sha256:156171977e2a3fab1f71398c823ee62178bd507d2d56d4eec246da320e71ba41

Observation a3c27c00-5b51-4c8a-86d8-7ab024cf9e97 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with re- gion proposal networks.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Faster R-CNN: Towards real-time object detection with re- gion proposal networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.323381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.113534Z digest=sha256:e538efdb58fb186eecdbfacba3affccd2462942578fe1d702baceabd279ac07d

Observation a32dc753-1f46-4fac-a3e8-d35fcc2533d1 · outbound

This paper cites Performance measures and a data set for multi-target, multi-camera tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Performance measures and a data set for multi-target, multi-camera tracking

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.296585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.121840Z digest=sha256:8bc7a1b37e1629d2fc1f9f48853a67d10040dc32729c19d6df9edcb735c8c18c

Observation f823faa2-edcd-43e3-acf4-7a3353c1fe17 · outbound

This paper cites Conditional random fields for multi-camera object de- tection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Conditional random fields for multi-camera object de- tection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.275210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.128785Z digest=sha256:9f3555a504f5250ce4b249b6b427310aa86822d95161d32fd2d7952073a5cff3

Observation dd51d198-dd11-4457-a742-6411613b588d · outbound

This paper cites U- Net: Convolutional networks for biomedical image segmen- tation.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost U- Net: Convolutional networks for biomedical image segmen- tation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.245610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.134443Z digest=sha256:ffdbbc400eb7be716bcd27cbb3ec4a997f94fd7ed27a2b705b88d76c7ef5398c

Observation aeecedbd-bb89-4056-947f-b0f093517a86 · outbound

This paper cites Stacked homography transformations for multi-view pedestrian detection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Stacked homography transformations for multi-view pedestrian detection

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.217182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.141389Z digest=sha256:f266c79469ee0e6bff768befeaaf645f9df4faed2d13e5cdd2500420404a893a

Observation 7e8ff8de-1e94-4269-842e-305a24558909 · outbound

This paper cites OCMCTrack: Online multi-target multi- camera tracking with corrective matching cascade.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost OCMCTrack: Online multi-target multi- camera tracking with corrective matching cascade

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.194423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.148561Z digest=sha256:5b97cdacf094caeb5fa29397e8b1f6f2ccd37f8901a4055ee840cb1c909e0a92

Observation f5f0dcda-77cf-496a-a551-7f68b4e34cf5 · outbound

This paper cites DanceTrack: Multi-object track- ing in uniform appearance and diverse motion.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost DanceTrack: Multi-object track- ing in uniform appearance and diverse motion

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.165112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.154378Z digest=sha256:cf46b72e1f947025bdbfacc8b2615450d6150dc6863a74983d709d1f2633ce9c

Observation 1ea9dda4-ee57-4e14-9f52-70c7226a8665 · outbound

This paper cites Scene generalized multi-view pedestrian detection with rotation- based augmentation and regularization.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Scene generalized multi-view pedestrian detection with rotation- based augmentation and regularization

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.146285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.165268Z digest=sha256:46eb5114a84df6bb7de428ef8024f56f84efef09549b4b870ddfc1f410a1bda7

Observation 25f76380-11ef-49d2-96d4-608dde40f410 · outbound

This paper cites EarlyBird: Early-fusion for multi- view tracking in the bird’s eye view.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost EarlyBird: Early-fusion for multi- view tracking in the bird’s eye view

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.125478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.170751Z digest=sha256:661354a9aa430699e38b0225ba3b00142c5e35f3c17a584f9bec78a5d6acd9ce

Observation 570395fe-6491-4004-93a1-80e1e760a573 · outbound

This paper cites Lifting multi-view detection and tracking to the bird’s eye view.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Lifting multi-view detection and tracking to the bird’s eye view

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.107124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.176359Z digest=sha256:e95bc8ea221f93638c0ac0bf2c3ea7903e96ada8447e42c2830e795688ef1026

Observation d66d391e-9842-4667-afb3-ecd5aa3acb0e · outbound

This paper cites Vaswani, N.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Vaswani, N

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.087402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.181693Z digest=sha256:23aaafd35441999b5c929d1ccf4aca686c87cb53ac0504e7d3a19a5e2bcbf887

Observation e1b344bb-aca1-4ac6-81f5-61c1826328f3 · outbound

This paper cites Bringing generalization to deep multi-view pedestrian detection.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Bringing generalization to deep multi-view pedestrian detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.050968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.188677Z digest=sha256:83a3ea59282b0cdd79a90ccab3d8138212e57d050830e8a06f36c8e76b40ac79

Observation 9b380954-8573-48c9-abb4-d186dd07cc25 · outbound

This paper cites MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:36.195365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:36.195365Z digest=sha256:b2b0deb116421827c2b6a34ba9175f50d094d2c98fdff099a9a69d5d7edc0838

Observation 70c9021f-89f5-4aad-b015-aaf264c02232 · outbound

This paper cites Towards real-time multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Towards real-time multi-object tracking

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.029804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.201179Z digest=sha256:e0107e807354c44e3313788853503807d76d154b604372badd78cfe9e999d5d6

Observation eaa092c1-0f59-4cd7-a044-1c6bb174a844 · outbound

This paper cites A multi modal people tracker for real time human robot interaction.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost A multi modal people tracker for real time human robot interaction

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:37.009521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.210813Z digest=sha256:c18072c3d47b94e3582cc12ca7b606a1b81c47e6ba57d65bb95b15efb094ed80

Observation 4c11e2f7-5de8-467c-ab73-bac9c99276e5 · outbound

This paper cites Multi-view people tracking via hierarchical trajectory com- position.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Multi-view people tracking via hierarchical trajectory com- position

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.992416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.215186Z digest=sha256:c5ae879f0cfa58e417554e471b6feabd4c8d4bf70992098af8058e05caea7bbc

Observation 32da636a-6962-4877-ab0c-0b8cfef6b4c1 · outbound

This paper cites TransCenter: Transformers with dense representations for multiple-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost TransCenter: Transformers with dense representations for multiple-object tracking

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.975477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.220153Z digest=sha256:3d2504586fa0f06d9a9f4688a78f21f9fe6a61369b57314676aff6d19ecc197f

Observation c61a3d8c-e972-4986-809b-805f500d8c60 · outbound

This paper cites An end-to-end tracking framework via multi- view and temporal feature aggregation.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost An end-to-end tracking framework via multi- view and temporal feature aggregation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.959807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.226837Z digest=sha256:9b1814bea68664aa4d82f6583a40bfe5ab365abe2b52edd01bed2f3df55e6d4c

Observation 909cc832-841d-4ea4-87d6-1c099962fd52 · outbound

This paper cites Real-time 3D Deep Multi-Camera Tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Real-time 3D Deep Multi-Camera Tracking

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:36.234560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:36.234560Z digest=sha256:b4edb17962aabfe6601f9babf0d413b93da1221506b16707da43f42400ff8b9c

Observation 9996c8a3-600a-48bb-8d49-32e9dea5dbd1 · outbound

This paper cites Towards dis- criminative representation: Multi-view trajectory contrastive learning for online multi-object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Towards dis- criminative representation: Multi-view trajectory contrastive learning for online multi-object tracking

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.943704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.242228Z digest=sha256:50cf9b60f4027582121fcc55a9efc8f23b8316eef4aee1578fe2dea4efba9a9d

Observation 662b81f2-f607-432e-8e2f-63a388f8b9f2 · outbound

This paper cites MOTR: End-to-end multiple- object tracking with transformer.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost MOTR: End-to-end multiple- object tracking with transformer

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.927279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.248401Z digest=sha256:01df95a2da1714d6e379d823594906d2dd2aef835a544c547eac76d10d4d3842

Observation 5368fff5-0a89-4514-9b50-331104015ebe · outbound

This paper cites Global data as- sociation for multi-object tracking using network flows.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Global data as- sociation for multi-object tracking using network flows

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.910906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.253326Z digest=sha256:d4303f7bd51a21129422530920904fe7f9cf313291a6db95b2521679148a5e2a

Observation 4ba57c3c-726e-4b4f-9b32-b44b183c045f · outbound

This paper cites Cross-view cross- scene multi-view crowd counting.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Cross-view cross- scene multi-view crowd counting

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.893407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.261069Z digest=sha256:5827c1dad8ecaf5433cd50be3e96c3fcd045a5742158b362e09a7bdd7f08f07d

Observation 5c42e5d9-2fbd-4861-9682-d2818193975f · outbound

This paper cites Mahalanobis distance-based multi-view optimal transport for multi-view crowd localization.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Mahalanobis distance-based multi-view optimal transport for multi-view crowd localization

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.876208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.266234Z digest=sha256:966e9bd0ca97d7a8721b84b1a12b92439569e7e8ab2925bced5bb89b7967c307

Observation 017499c7-a9e3-46f3-864b-21047a84e12f · outbound

This paper cites FairMOT: On the fairness of detection and re-identification in multiple object tracking.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost FairMOT: On the fairness of detection and re-identification in multiple object tracking

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.856635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.271729Z digest=sha256:6ccc07251bae7a564ccda29e827fab40f601af2dd09369b128dfdc58d7f30c89

Observation b7f50dea-f49c-4481-b660-d7f4c1a38d6f · outbound

This paper cites Objects as Points.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Objects as Points

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T12:55:36.276425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:55:36.276425Z digest=sha256:14fdf8dd235417476114766482ce06c754a758d8204d4423fea870065d5c586f

Observation 51d7c1de-6910-4bb2-9fa4-ee9ab50be741 · outbound

This paper cites Global tracking transformers.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Global tracking transformers

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.837747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.281705Z digest=sha256:9b72a885f92fe1e3182182b1361ede25ab05119fc1cce8135a62ea03465ace49

Observation 7d4de46e-970f-4546-96b4-cf0799b1d8ea · outbound

This paper cites Online multi-object tracking with dual matching attention networks.

MVTrajecter: Multi-View Pedestrian Tracking with Trajectory Motion Cost and Trajectory Appearance Cost Online multi-object tracking with dual matching attention networks

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:55:36.814596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T12:55:36.286226Z digest=sha256:8a81895b974fbfdc326392d2e3eb81fd7ec2954c0ded2545fb26640ba87b2fd6

Pith citing papers

No inbound Pith citation observations are available.