{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3CUBTUO5BHSFZIKLJEAEVHJW2U","short_pith_number":"pith:3CUBTUO5","canonical_record":{"source":{"id":"2003.11753","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-26T06:08:19Z","cross_cats_sorted":[],"title_canon_sha256":"691d351e42ea362f4b42dd4bbd86c0b3039b0adbd48d3cbbd14076ed50d9e57f","abstract_canon_sha256":"f27a57703154d7b555b485e18639bad42a0dcbb90aaeceef9427b6583459c2bc"},"schema_version":"1.0"},"canonical_sha256":"d8a819d1dd09e45ca14b49004a9d36d502352063afaf246114f81db23a176476","source":{"kind":"arxiv","id":"2003.11753","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.11753","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"arxiv_version","alias_value":"2003.11753v1","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.11753","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"pith_short_12","alias_value":"3CUBTUO5BHSF","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"pith_short_16","alias_value":"3CUBTUO5BHSFZIKL","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"pith_short_8","alias_value":"3CUBTUO5","created_at":"2026-07-05T00:50:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3CUBTUO5BHSFZIKLJEAEVHJW2U","target":"record","payload":{"canonical_record":{"source":{"id":"2003.11753","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-26T06:08:19Z","cross_cats_sorted":[],"title_canon_sha256":"691d351e42ea362f4b42dd4bbd86c0b3039b0adbd48d3cbbd14076ed50d9e57f","abstract_canon_sha256":"f27a57703154d7b555b485e18639bad42a0dcbb90aaeceef9427b6583459c2bc"},"schema_version":"1.0"},"canonical_sha256":"d8a819d1dd09e45ca14b49004a9d36d502352063afaf246114f81db23a176476","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:50:47.071650Z","signature_b64":"HjisnWrWcSKmZC3d4mb/2V6tNY/dhGMBy8aGT1PzVDmAXCQnRrm/uSX+ClZ8df5MKILa6k/FXTkwXsyDCQMBAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d8a819d1dd09e45ca14b49004a9d36d502352063afaf246114f81db23a176476","last_reissued_at":"2026-07-05T00:50:47.071186Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:50:47.071186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.11753","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:50:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4E084BZ/pyVvyFIm3PJwErvwDsyjKDMEM9yjRZtwgfNeHKBOCW36FS2WscbVhNv/FTLnAz3KtzdeMvr9qjd4Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:21:13.622953Z"},"content_sha256":"2d22b74cd6f1de2439f40eaf6c75f289fef0f29022f04ee0878a0fdb7603ecc3","schema_version":"1.0","event_id":"sha256:2d22b74cd6f1de2439f40eaf6c75f289fef0f29022f04ee0878a0fdb7603ecc3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3CUBTUO5BHSFZIKLJEAEVHJW2U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Real-time 3D Deep Multi-Camera Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Jiang, Quanzeng You","submitted_at":"2020-03-26T06:08:19Z","abstract_excerpt":"Tracking a crowd in 3D using multiple RGB cameras is a challenging task. Most previous multi-camera tracking algorithms are designed for offline setting and have high computational complexity. Robust real-time multi-camera 3D tracking is still an unsolved problem. In this work, we propose a novel end-to-end tracking pipeline, Deep Multi-Camera Tracking (DMCT), which achieves reliable real-time multi-camera people tracking. Our DMCT consists of 1) a fast and novel perspective-aware Deep GroudPoint Network, 2) a fusion procedure for ground-plane occupancy heatmap estimation, 3) a novel Deep Glim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.11753","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2003.11753/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:50:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aVLzOScm4x2ygiAKsV7lUNr7mLHul+8qv/MOrBzTyeQ24cUd84Th3uJPeiEW4a3KpEROX7UgMzoOaxW0rTABCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:21:13.623470Z"},"content_sha256":"337fbe0cd5b3b6a23cbd582bc57f85bd853a9320907ff0bd7b4f0e5052044454","schema_version":"1.0","event_id":"sha256:337fbe0cd5b3b6a23cbd582bc57f85bd853a9320907ff0bd7b4f0e5052044454"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U/bundle.json","state_url":"https://pith.science/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T21:21:13Z","links":{"resolver":"https://pith.science/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U","bundle":"https://pith.science/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U/bundle.json","state":"https://pith.science/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3CUBTUO5BHSFZIKLJEAEVHJW2U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3CUBTUO5BHSFZIKLJEAEVHJW2U","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f27a57703154d7b555b485e18639bad42a0dcbb90aaeceef9427b6583459c2bc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-26T06:08:19Z","title_canon_sha256":"691d351e42ea362f4b42dd4bbd86c0b3039b0adbd48d3cbbd14076ed50d9e57f"},"schema_version":"1.0","source":{"id":"2003.11753","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.11753","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"arxiv_version","alias_value":"2003.11753v1","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.11753","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"pith_short_12","alias_value":"3CUBTUO5BHSF","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"pith_short_16","alias_value":"3CUBTUO5BHSFZIKL","created_at":"2026-07-05T00:50:47Z"},{"alias_kind":"pith_short_8","alias_value":"3CUBTUO5","created_at":"2026-07-05T00:50:47Z"}],"graph_snapshots":[{"event_id":"sha256:337fbe0cd5b3b6a23cbd582bc57f85bd853a9320907ff0bd7b4f0e5052044454","target":"graph","created_at":"2026-07-05T00:50:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2003.11753/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tracking a crowd in 3D using multiple RGB cameras is a challenging task. Most previous multi-camera tracking algorithms are designed for offline setting and have high computational complexity. Robust real-time multi-camera 3D tracking is still an unsolved problem. In this work, we propose a novel end-to-end tracking pipeline, Deep Multi-Camera Tracking (DMCT), which achieves reliable real-time multi-camera people tracking. Our DMCT consists of 1) a fast and novel perspective-aware Deep GroudPoint Network, 2) a fusion procedure for ground-plane occupancy heatmap estimation, 3) a novel Deep Glim","authors_text":"Hao Jiang, Quanzeng You","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-26T06:08:19Z","title":"Real-time 3D Deep Multi-Camera Tracking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.11753","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2d22b74cd6f1de2439f40eaf6c75f289fef0f29022f04ee0878a0fdb7603ecc3","target":"record","created_at":"2026-07-05T00:50:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f27a57703154d7b555b485e18639bad42a0dcbb90aaeceef9427b6583459c2bc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-26T06:08:19Z","title_canon_sha256":"691d351e42ea362f4b42dd4bbd86c0b3039b0adbd48d3cbbd14076ed50d9e57f"},"schema_version":"1.0","source":{"id":"2003.11753","kind":"arxiv","version":1}},"canonical_sha256":"d8a819d1dd09e45ca14b49004a9d36d502352063afaf246114f81db23a176476","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8a819d1dd09e45ca14b49004a9d36d502352063afaf246114f81db23a176476","first_computed_at":"2026-07-05T00:50:47.071186Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:50:47.071186Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HjisnWrWcSKmZC3d4mb/2V6tNY/dhGMBy8aGT1PzVDmAXCQnRrm/uSX+ClZ8df5MKILa6k/FXTkwXsyDCQMBAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:50:47.071650Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.11753","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d22b74cd6f1de2439f40eaf6c75f289fef0f29022f04ee0878a0fdb7603ecc3","sha256:337fbe0cd5b3b6a23cbd582bc57f85bd853a9320907ff0bd7b4f0e5052044454"],"state_sha256":"e06164bd159127c73a49b5bde323dc5959ea6bd94b97706aa5dce57890680a30"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mk4OtXD1I6Spu2ZZpX+0YHEq0JfffLXiCdyBnw2QeozLS8FDAT+tQ3R6SVWsQT+HVQGKd3u/OZjF5Sfg9RmuCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:21:13.630413Z","bundle_sha256":"e92970f6f2f6fcc8bfb8a29a085d0035acf26117f404691afd1d7183da5c12d8"}}