{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:7SYZAQXCLUZEOB5KEEAMPCSB5M","short_pith_number":"pith:7SYZAQXC","schema_version":"1.0","canonical_sha256":"fcb19042e25d324707aa2100c78a41eb0ae22e1b67e7a4960c73db5f4a214c83","source":{"kind":"arxiv","id":"2106.14049","version":3},"attestation_state":"computed","paper":{"title":"Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-Based Method","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CV","authors_text":"Ningchuan Xiao, Yue Lin","submitted_at":"2021-06-26T15:46:45Z","abstract_excerpt":"The growing number of real-time camera feeds in urban areas has made it possible to provide high-quality traffic data for effective transportation planning, operations, and management. However, deriving reliable traffic metrics from these camera feeds has been a challenge due to the limitations of current vehicle detection techniques, as well as the various camera conditions such as height and resolution. In this work, a quadtree based algorithm is developed to continuously partition the image extent until only regions with high detection accuracy are remained. These regions are referred to as"},"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":"2106.14049","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-26T15:46:45Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"5c0848b2eccf7d70b3e3a66973c928490249d8c3fb04520a0a1cab195970d13c","abstract_canon_sha256":"251c623d92a1573a719f874d6aadf7cfc505d96aef7ca1da7a41743ade497898"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:31:22.130091Z","signature_b64":"Um3bngssPO/G6eWEHMU/nGlANGR5vf/AA0k2wQporYk6zqa+wehkdlJuks/t5RJ/SzLW1OA9yJoRg3zI+t5OCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fcb19042e25d324707aa2100c78a41eb0ae22e1b67e7a4960c73db5f4a214c83","last_reissued_at":"2026-07-05T04:31:22.129583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:31:22.129583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identifying High Accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-Based Method","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CV","authors_text":"Ningchuan Xiao, Yue Lin","submitted_at":"2021-06-26T15:46:45Z","abstract_excerpt":"The growing number of real-time camera feeds in urban areas has made it possible to provide high-quality traffic data for effective transportation planning, operations, and management. However, deriving reliable traffic metrics from these camera feeds has been a challenge due to the limitations of current vehicle detection techniques, as well as the various camera conditions such as height and resolution. In this work, a quadtree based algorithm is developed to continuously partition the image extent until only regions with high detection accuracy are remained. These regions are referred to as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.14049","kind":"arxiv","version":3},"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/2106.14049/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":"2106.14049","created_at":"2026-07-05T04:31:22.129644+00:00"},{"alias_kind":"arxiv_version","alias_value":"2106.14049v3","created_at":"2026-07-05T04:31:22.129644+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.14049","created_at":"2026-07-05T04:31:22.129644+00:00"},{"alias_kind":"pith_short_12","alias_value":"7SYZAQXCLUZE","created_at":"2026-07-05T04:31:22.129644+00:00"},{"alias_kind":"pith_short_16","alias_value":"7SYZAQXCLUZEOB5K","created_at":"2026-07-05T04:31:22.129644+00:00"},{"alias_kind":"pith_short_8","alias_value":"7SYZAQXC","created_at":"2026-07-05T04:31:22.129644+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/7SYZAQXCLUZEOB5KEEAMPCSB5M","json":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M.json","graph_json":"https://pith.science/api/pith-number/7SYZAQXCLUZEOB5KEEAMPCSB5M/graph.json","events_json":"https://pith.science/api/pith-number/7SYZAQXCLUZEOB5KEEAMPCSB5M/events.json","paper":"https://pith.science/paper/7SYZAQXC"},"agent_actions":{"view_html":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M","download_json":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M.json","view_paper":"https://pith.science/paper/7SYZAQXC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2106.14049&json=true","fetch_graph":"https://pith.science/api/pith-number/7SYZAQXCLUZEOB5KEEAMPCSB5M/graph.json","fetch_events":"https://pith.science/api/pith-number/7SYZAQXCLUZEOB5KEEAMPCSB5M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M/action/storage_attestation","attest_author":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M/action/author_attestation","sign_citation":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M/action/citation_signature","submit_replication":"https://pith.science/pith/7SYZAQXCLUZEOB5KEEAMPCSB5M/action/replication_record"}},"created_at":"2026-07-05T04:31:22.129644+00:00","updated_at":"2026-07-05T04:31:22.129644+00:00"}