{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:PPHYF27ODBLAUDTUBEMOPD7WGS","short_pith_number":"pith:PPHYF27O","schema_version":"1.0","canonical_sha256":"7bcf82ebee18560a0e740918e78ff6348cec1f8154d9a1c9c007f1bdfcc9ccc5","source":{"kind":"arxiv","id":"2302.12827","version":2},"attestation_state":"computed","paper":{"title":"Decoupling Human and Camera Motion from Videos in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Angjoo Kanazawa, Georgios Pavlakos, Jitendra Malik, Vickie Ye","submitted_at":"2023-02-24T18:59:15Z","abstract_excerpt":"We propose a method to reconstruct global human trajectories from videos in the wild. Our optimization method decouples the camera and human motion, which allows us to place people in the same world coordinate frame. Most existing methods do not model the camera motion; methods that rely on the background pixels to infer 3D human motion usually require a full scene reconstruction, which is often not possible for in-the-wild videos. However, even when existing SLAM systems cannot recover accurate scene reconstructions, the background pixel motion still provides enough signal to constrain the ca"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2302.12827","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-24T18:59:15Z","cross_cats_sorted":[],"title_canon_sha256":"4d89aa32ed0d01430ba02d114bf9973f4f3d3c3d3ef449dfd1725c5aa53d0e2f","abstract_canon_sha256":"b096607a0c4526a422b52a3a5c04768fe4ed83f5d007bf331c949da568babe54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:53:14.776292Z","signature_b64":"BnCHHq6h8PsSaj5H5bZtNJv2ivlMrj3usiJ/rVJ94YuEvRFovr3D0MSZ7JiA71uW1M8hFdyPUIiiOKvqKOh5Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7bcf82ebee18560a0e740918e78ff6348cec1f8154d9a1c9c007f1bdfcc9ccc5","last_reissued_at":"2026-07-05T05:53:14.775787Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:53:14.775787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Decoupling Human and Camera Motion from Videos in the Wild","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Angjoo Kanazawa, Georgios Pavlakos, Jitendra Malik, Vickie Ye","submitted_at":"2023-02-24T18:59:15Z","abstract_excerpt":"We propose a method to reconstruct global human trajectories from videos in the wild. Our optimization method decouples the camera and human motion, which allows us to place people in the same world coordinate frame. Most existing methods do not model the camera motion; methods that rely on the background pixels to infer 3D human motion usually require a full scene reconstruction, which is often not possible for in-the-wild videos. However, even when existing SLAM systems cannot recover accurate scene reconstructions, the background pixel motion still provides enough signal to constrain the ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.12827","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.12827/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2302.12827","created_at":"2026-07-05T05:53:14.775849+00:00"},{"alias_kind":"arxiv_version","alias_value":"2302.12827v2","created_at":"2026-07-05T05:53:14.775849+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.12827","created_at":"2026-07-05T05:53:14.775849+00:00"},{"alias_kind":"pith_short_12","alias_value":"PPHYF27ODBLA","created_at":"2026-07-05T05:53:14.775849+00:00"},{"alias_kind":"pith_short_16","alias_value":"PPHYF27ODBLAUDTU","created_at":"2026-07-05T05:53:14.775849+00:00"},{"alias_kind":"pith_short_8","alias_value":"PPHYF27O","created_at":"2026-07-05T05:53:14.775849+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.10194","citing_title":"Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture","ref_index":238,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS","json":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS.json","graph_json":"https://pith.science/api/pith-number/PPHYF27ODBLAUDTUBEMOPD7WGS/graph.json","events_json":"https://pith.science/api/pith-number/PPHYF27ODBLAUDTUBEMOPD7WGS/events.json","paper":"https://pith.science/paper/PPHYF27O"},"agent_actions":{"view_html":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS","download_json":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS.json","view_paper":"https://pith.science/paper/PPHYF27O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2302.12827&json=true","fetch_graph":"https://pith.science/api/pith-number/PPHYF27ODBLAUDTUBEMOPD7WGS/graph.json","fetch_events":"https://pith.science/api/pith-number/PPHYF27ODBLAUDTUBEMOPD7WGS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS/action/storage_attestation","attest_author":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS/action/author_attestation","sign_citation":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS/action/citation_signature","submit_replication":"https://pith.science/pith/PPHYF27ODBLAUDTUBEMOPD7WGS/action/replication_record"}},"created_at":"2026-07-05T05:53:14.775849+00:00","updated_at":"2026-07-05T05:53:14.775849+00:00"}