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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:464361ce9c8f0a77e2ee4c1e05f0a365b14e3097c452a2354000607390378770

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=sha256:06cddfa5f02accde6124f7f26fbe54f30548eca0faec1a58aac2ddce10f794a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.717393Z digest=sha256:77874d80304b0e3061ffd46cc4ffe3ab8b212455d53a55fcd11f8d69a5c475d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.727411Z digest=sha256:d740bed5b927e7c1f1df87b386d6df8844ec6f7c3499a693cc46bcb8abbb39a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.735304Z digest=sha256:3ebc67b1aa96857d51238dd0692f1e8bbbb91af22f57d8c3c569aa3f28f5a8ff

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.742793Z digest=sha256:f3341115faebe5b7c50a1119ec302c5b844536589d766183ec4898676aa7e32f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.750252Z digest=sha256:906bf9042db425a0034de469c9e3634e676396d176e54b3bef87e125abe56790

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.758683Z digest=sha256:5aa230fd9c1c2e7c320bcbc9d559e24ea5382490f682181409b3b1f752aaf5ae

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.770137Z digest=sha256:c383abbb20d7dce740400a7f85695aa2538a1c0ee961224da08e42c4b1e11c6d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.781380Z digest=sha256:78a2e3335b2a13549337ca54416072e88e6a28711486b5f299a501713000c299

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.792957Z digest=sha256:7d9ac7b7b3a74537decd9b8c09eb92ea571c1cbe3a43fcb7ca61373745b6cb03

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.801594Z digest=sha256:4fceae8d87e4c63dddf97c3443cdb202bac77710a7fe4d106abdd7d6f81a0313

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.807592Z digest=sha256:25d856ad78f9c203711d816ef5ef1e550f5fc31463f9897313f19f59577167b5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.827985Z digest=sha256:31f68d663db9bcf4e1a85beed211db66571c56184beb8f520750916baa64d1f7

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=sha256:6046761b289c0b9c0f40f5c1892e208206f988621ee677e78e833e60fd193e3b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.846014Z digest=sha256:9c0900408927151b7edd5eedc2b5733528672acc0eab10b9d62c3214112fb617

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.852804Z digest=sha256:bc285c1c3414eef65b207f7bb9708b3ab07318b87853185a006891a330a3a378

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.863372Z digest=sha256:066b56e78d66b8cf71bf55e424239e974726414f536b024c5619f38509b9467e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.868675Z digest=sha256:801da833dfca7241b1f5b90e9619c2948063ab66a8cfcc98db3012f37c962c94

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.873621Z digest=sha256:de48676e2e93bb2a154efb752636d18277ddcbf662e1817f4b34dd9f88e7e00e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.877899Z digest=sha256:46607dbb6825572640494a5727bfbb35eaf04ca5099e52d2157c0c2b24fda179

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.883240Z digest=sha256:e2014003209b1231b86f018d8ca0fa10e93cf0e660cef2d2f8886a04dc9fc8eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.888639Z digest=sha256:10c472d3dab106457adb63add8cb71c6e0a2a9d702134f7531a8a3f1635ccb5f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.899713Z digest=sha256:664fb1416ab7a9f2f8ce23cbcce60353502ad734efda5c089203c955eadac489

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.906467Z digest=sha256:ee00f28f152e249b15b4666f44c7f00f659165c2f59f065cccd490d25508a495

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.915950Z digest=sha256:3603057f05024a818ed95ac62a5d9c78b2b946455a6dc039b232b33412e0036b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.928383Z digest=sha256:b8890895cb7e952404cb76f0606cdb2b3c9f8a7100fd05065d524b9076e7b94d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.935593Z digest=sha256:655d0f6525287d095cf38ae21f8ba44096c0bef634c43da0428255afda9f3686

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=sha256:42b8e36295ce5154772ffb14e7253556eefc157a3501b571d3648ee2595fffb0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.945563Z digest=sha256:b3a2836e5acd0bd825f3571591960f23e6ae7f6f21f0bf9ff5c019aaad733ce0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.952603Z digest=sha256:3aabd0859f52ae5c8267356a235529d58b36d7fe26cd5d46aa7b3573977a11ac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.957057Z digest=sha256:2646badb4b308e423b8c86cfcbc8b8ee19e0e394669a877c66d2a2e006fd8167

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.964161Z digest=sha256:55bae09b96e566f504d2735437ece7d7187365766b73a0401bf4f8c14dc5375a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.970864Z digest=sha256:63635213e3ca8598fca958e38139da0bea3d2f1578a2b1d2a1fcf2326b09cd33

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.977492Z digest=sha256:9ae1567079a6f627140ee92076647f59d04bc83eaf8d0fcceba2bc86f6640f6a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:35.989272Z digest=sha256:ed6539dc19074b651b1b91d192a547be99a994e67a22533842b1a4f601d00aab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.001124Z digest=sha256:fe7623eeb782cc2ec39e51fc13446107b555eeccc4f60963bb344b50fd4ee7d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.011213Z digest=sha256:5b84dcbe0df754629c5fe562975ae7a2d26d7abdbe6aa21df95ba09fbfd3ade8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.017459Z digest=sha256:ee184a9869448f3af7d0de9a741c4d69e0f7ee47deafa4dceb8a3b1555265b69

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.025058Z digest=sha256:0c5862abbb43e8916a44115395e9c19ca35326cf26d8b6434903846d33eed268

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.032925Z digest=sha256:1adbacd2610efa1b2536fde618eb14ce885ea7bfbc226c21985b85c7bca92f5f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.040839Z digest=sha256:2f2b07beb3e13a5db19563e74b712dd9c5fac127f420c08d2cf0e8baf0f58299

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.052431Z digest=sha256:07a66b05024dd4e8c470a2d919b24628942a14f5eac293fb3243efd519e4e928

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.057965Z digest=sha256:88dd216a8376875511b16fbbc5ad6bd0c0221d3b97324fbb1dfef82a4dca2720

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=sha256:261babc14b2c58d9a07afd51bb8dc78340c06da410f567c6476d3a6427d08936

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.067877Z digest=sha256:1ecee8d31334365f419f454048be9050cbb9f252217938b2fa52964b3a6c1241

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:a662d70338b1e4a81094b3773966981a04f844811aa09ec41d2b07c3afd39bc7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.078572Z digest=sha256:933af845d57c8a137c1079f3584052404e5fd01bc5570dd7e61de771bb6fe684

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.084932Z digest=sha256:b83e842256ac628b02210a8197918ef992c29eb491fe9203a34c6bebc4634f5f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.091419Z digest=sha256:d4e32c6401c59d10ee279f580a4aba72ec756bbdfea5e5f5d423c3fdc1fc7c59

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.096232Z digest=sha256:b112d2138e19a281a28ce37ce414be678dd7af3f40478474ff222f9439ce6ac4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.101944Z digest=sha256:a59900af03146534582d4184edc93a82e88e1047ac5081716d7b54cbefe25f8b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.107186Z digest=sha256:8d85b5e18db4a8ea3fdec1f53e95f4288c8c58f3c0b63f6476d027c50cedf670

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.113534Z digest=sha256:31ed7ff15af965124a4801259dfa321a38a6904e38ce36bc19e3253d18d29848

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.121840Z digest=sha256:28cfbf8e15b94f2134689b90aa3b1aefc5445b088db120079a43592004ea41da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.128785Z digest=sha256:5e1929c80094bd452207f00a6a9e3854c733d9aaa1ff8a0d6e2c8a7f0c1e5d3b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.134443Z digest=sha256:149e8638fb43982d822804bd4bb2b00cd3f78695fdb8b4b0cee2f4b8b33e92df

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.141389Z digest=sha256:42e0188360e4c7fac440c59efdd5bf1711ceaaf6ea6e28299c394ccb6b5ccf92

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.148561Z digest=sha256:b9ab6064ae663cc66b30cbd3d69659db8765638244e8a94998dc3dc1bc77950f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.154378Z digest=sha256:38f2b173d02fa3cf7882e1ab8a5e6134ec1185becbf3b778d1659c05ee55bc93

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.165268Z digest=sha256:85979fd07a0816266971875c6f7d72abc0ab9fc482ff7190cf1033df2755cb1b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.170751Z digest=sha256:2671d94412d2b232d16db029f977127429ca63fdd6d9c1620186962decad193c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.176359Z digest=sha256:c19cee3f823c35c7f798fd6eafd5bc47968c6c6be51f445fcd154d87eee04a35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.181693Z digest=sha256:99ccd840427e590c4e446803dd15b24fc9f86b41a0be4a45eaa718bb03b2f362

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.188677Z digest=sha256:910374f02060c112d030a0eda38d04acafb2a89dfb45ab7bc6acc4e010f81450

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:c530783339b2a2ffd809b5b750e7d727718bad79ee330ec042fdc6e012412af9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.201179Z digest=sha256:d59db5171ab078f8174f47d3f842c30dbe36f6828045465cb100d522767a5245

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.210813Z digest=sha256:7c67e022ea3bf9599e400524e7c2d3039b168e1ef349da101d5ae4791d91a63f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.215186Z digest=sha256:c45e0fcaa9fd4b7dfa7aa025b58b428a1ce8d3635b1a0f96c8d539ae36cbdb25

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.220153Z digest=sha256:23c4bfc4fc23da02c1a3b6415d5ec3d315e92decb23b08c12d3fa238a964336f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.226837Z digest=sha256:870ebbcb05b781a366a830183ee8dd737c5b7511d8c20f676bba0cba8a0f13fa

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=sha256:10f13dfbf784c0026d72d6d7301c5bb551b5777715540f80678bca67316942bd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.242228Z digest=sha256:08177c83ebcb16f74471b0c037c042ebebce10f9e3dd582abab150338c821ddb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.248401Z digest=sha256:5717cd5ee7221ae9e0f682440021c11ac2a50b8537c9c4939769cb29b0a4bc38

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.253326Z digest=sha256:f495884fe3d042f458fa1cd31a31b729261bb2360c1e7ea90660e9ce0c0bf216

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.261069Z digest=sha256:32717c985da376c13e266c5e80fa4f9d789415c53b20790a878048ddb3b03b9c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.266234Z digest=sha256:cac2b9b5c7db90a84a0a127567e1f03c5306160df343089a519bf9a4b02b6a6b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.271729Z digest=sha256:9105d2592d25229212e007e34c1bef04efcca29e4cf84b1f0db7d7077fa02442

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:bd223ce91d9698b7cd125a72733e6b0b51d9b395e46007580b38f45e64c77880

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.281705Z digest=sha256:56d595f96818804d8fb6d5d57b0beb57b2c811d504fb81908d3c94f1cc69ef29

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T12:55:36.286226Z digest=sha256:827b9d9f61cb008cff327f7f840d791de41af159052bf23db6574e8d49224c52

Pith citing papers

No inbound Pith citation observations are available.