{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:TLDXNFDRS5IKXJYNHULTZZJUVC","short_pith_number":"pith:TLDXNFDR","schema_version":"1.0","canonical_sha256":"9ac77694719750aba70d3d173ce534a8952cc120929e3f328e5b056735e2434a","source":{"kind":"arxiv","id":"1901.06129","version":1},"attestation_state":"computed","paper":{"title":"Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junjie Yan, Wanli Ouyang, Weitao Feng, Wei Wu, Zhihao Hu","submitted_at":"2019-01-18T08:44:01Z","abstract_excerpt":"In this paper, we propose a unified Multi-Object Tracking (MOT) framework learning to make full use of long term and short term cues for handling complex cases in MOT scenes. Besides, for better association, we propose switcher-aware classification (SAC), which takes the potential identity-switch causer (switcher) into consideration. Specifically, the proposed framework includes a Single Object Tracking (SOT) sub-net to capture short term cues, a re-identification (ReID) sub-net to extract long term cues and a switcher-aware classifier to make matching decisions using extracted features from t"},"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":"1901.06129","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-18T08:44:01Z","cross_cats_sorted":[],"title_canon_sha256":"a92e438147fcf2b4c0ff6dc605669f9b889fb335a96b9f3918c2f3b4bd42e5b5","abstract_canon_sha256":"ae4c87e84f1e64f6c642500305bc7896116ab0f6f3ce28cb98d4bb6ecf2f8004"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:04.473290Z","signature_b64":"FTqph68oIDv0rzjG5+wUwFFVjuME0iMo3yccDr2P6Opij5vmm0N6rAJUouZ3z+zjnjCt/QQsSDSwz2KsnOFdAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ac77694719750aba70d3d173ce534a8952cc120929e3f328e5b056735e2434a","last_reissued_at":"2026-05-17T23:56:04.472800Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:04.472800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junjie Yan, Wanli Ouyang, Weitao Feng, Wei Wu, Zhihao Hu","submitted_at":"2019-01-18T08:44:01Z","abstract_excerpt":"In this paper, we propose a unified Multi-Object Tracking (MOT) framework learning to make full use of long term and short term cues for handling complex cases in MOT scenes. Besides, for better association, we propose switcher-aware classification (SAC), which takes the potential identity-switch causer (switcher) into consideration. Specifically, the proposed framework includes a Single Object Tracking (SOT) sub-net to capture short term cues, a re-identification (ReID) sub-net to extract long term cues and a switcher-aware classifier to make matching decisions using extracted features from t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.06129","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1901.06129","created_at":"2026-05-17T23:56:04.472876+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.06129v1","created_at":"2026-05-17T23:56:04.472876+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.06129","created_at":"2026-05-17T23:56:04.472876+00:00"},{"alias_kind":"pith_short_12","alias_value":"TLDXNFDRS5IK","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"TLDXNFDRS5IKXJYN","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"TLDXNFDR","created_at":"2026-05-18T12:33:30.264802+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC","json":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC.json","graph_json":"https://pith.science/api/pith-number/TLDXNFDRS5IKXJYNHULTZZJUVC/graph.json","events_json":"https://pith.science/api/pith-number/TLDXNFDRS5IKXJYNHULTZZJUVC/events.json","paper":"https://pith.science/paper/TLDXNFDR"},"agent_actions":{"view_html":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC","download_json":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC.json","view_paper":"https://pith.science/paper/TLDXNFDR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.06129&json=true","fetch_graph":"https://pith.science/api/pith-number/TLDXNFDRS5IKXJYNHULTZZJUVC/graph.json","fetch_events":"https://pith.science/api/pith-number/TLDXNFDRS5IKXJYNHULTZZJUVC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC/action/storage_attestation","attest_author":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC/action/author_attestation","sign_citation":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC/action/citation_signature","submit_replication":"https://pith.science/pith/TLDXNFDRS5IKXJYNHULTZZJUVC/action/replication_record"}},"created_at":"2026-05-17T23:56:04.472876+00:00","updated_at":"2026-05-17T23:56:04.472876+00:00"}