{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:SZTVNZK3CTIR3BOTMF7XI3AGSG","short_pith_number":"pith:SZTVNZK3","schema_version":"1.0","canonical_sha256":"966756e55b14d11d85d3617f746c06918a24ac537b3a91a94045b9f110cc21d3","source":{"kind":"arxiv","id":"1803.11217","version":2},"attestation_state":"computed","paper":{"title":"Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyou Fan, David J Crandall, Michael S Ryoo, Mingze Xu, Yuchen Wang","submitted_at":"2018-03-29T18:46:03Z","abstract_excerpt":"In a world of pervasive cameras, public spaces are often captured from multiple perspectives by cameras of different types, both fixed and mobile. An important problem is to organize these heterogeneous collections of videos by finding connections between them, such as identifying correspondences between the people appearing in the videos and the people holding or wearing the cameras. In this paper, we wish to solve two specific problems: (1) given two or more synchronized third-person videos of a scene, produce a pixel-level segmentation of each visible person and identify corresponding peopl"},"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":"1803.11217","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-29T18:46:03Z","cross_cats_sorted":[],"title_canon_sha256":"34178a291ed80aa96d766a13f021e6658978a681ed4b637a1da3ed2f633a6f83","abstract_canon_sha256":"8f1684ec48dc39cfe0f1d6eb285b373ba34ff892729fb87e52656848eac68cf6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:47.165332Z","signature_b64":"jjeN9IaHlRPw8hbbXUmaCGNum9QVIXzW1MdieZwMB/zeqn+KdzR4ub0cKHM+uVMsMfX25nStvLaGwg65ctGgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"966756e55b14d11d85d3617f746c06918a24ac537b3a91a94045b9f110cc21d3","last_reissued_at":"2026-05-18T00:09:47.164537Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:47.164537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyou Fan, David J Crandall, Michael S Ryoo, Mingze Xu, Yuchen Wang","submitted_at":"2018-03-29T18:46:03Z","abstract_excerpt":"In a world of pervasive cameras, public spaces are often captured from multiple perspectives by cameras of different types, both fixed and mobile. An important problem is to organize these heterogeneous collections of videos by finding connections between them, such as identifying correspondences between the people appearing in the videos and the people holding or wearing the cameras. In this paper, we wish to solve two specific problems: (1) given two or more synchronized third-person videos of a scene, produce a pixel-level segmentation of each visible person and identify corresponding peopl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.11217","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":""},"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":"1803.11217","created_at":"2026-05-18T00:09:47.164661+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.11217v2","created_at":"2026-05-18T00:09:47.164661+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.11217","created_at":"2026-05-18T00:09:47.164661+00:00"},{"alias_kind":"pith_short_12","alias_value":"SZTVNZK3CTIR","created_at":"2026-05-18T12:32:53.628368+00:00"},{"alias_kind":"pith_short_16","alias_value":"SZTVNZK3CTIR3BOT","created_at":"2026-05-18T12:32:53.628368+00:00"},{"alias_kind":"pith_short_8","alias_value":"SZTVNZK3","created_at":"2026-05-18T12:32:53.628368+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/SZTVNZK3CTIR3BOTMF7XI3AGSG","json":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG.json","graph_json":"https://pith.science/api/pith-number/SZTVNZK3CTIR3BOTMF7XI3AGSG/graph.json","events_json":"https://pith.science/api/pith-number/SZTVNZK3CTIR3BOTMF7XI3AGSG/events.json","paper":"https://pith.science/paper/SZTVNZK3"},"agent_actions":{"view_html":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG","download_json":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG.json","view_paper":"https://pith.science/paper/SZTVNZK3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.11217&json=true","fetch_graph":"https://pith.science/api/pith-number/SZTVNZK3CTIR3BOTMF7XI3AGSG/graph.json","fetch_events":"https://pith.science/api/pith-number/SZTVNZK3CTIR3BOTMF7XI3AGSG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG/action/storage_attestation","attest_author":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG/action/author_attestation","sign_citation":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG/action/citation_signature","submit_replication":"https://pith.science/pith/SZTVNZK3CTIR3BOTMF7XI3AGSG/action/replication_record"}},"created_at":"2026-05-18T00:09:47.164661+00:00","updated_at":"2026-05-18T00:09:47.164661+00:00"}