{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:YQRUP3Y6MMAJRND72TNCT3ZHSE","short_pith_number":"pith:YQRUP3Y6","schema_version":"1.0","canonical_sha256":"c42347ef1e630098b47fd4da29ef27913fc5d88c538f8c254c170a7f3975fbe6","source":{"kind":"arxiv","id":"2010.14025","version":1},"attestation_state":"computed","paper":{"title":"Spatio-Temporal Processing for Automatic Vehicle Detection in Wide-Area Aerial Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Jeffrey J. Rodriguez, Jeno Szep, Pratik Satam, Salim Hariri, Sundaresh Ram, Xin Gao","submitted_at":"2020-10-27T03:11:12Z","abstract_excerpt":"Vehicle detection in aerial videos often requires post-processing to eliminate false detections. This paper presents a spatio-temporal processing scheme to improve automatic vehicle detection performance by replacing the thresholding step of existing detection algorithms with multi-neighborhood hysteresis thresholding for foreground pixel classification. The proposed scheme also performs spatial post-processing, which includes morphological opening and closing to shape and prune the detected objects, and temporal post-processing to further reduce false detections. We evaluate the performance o"},"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":"2010.14025","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-10-27T03:11:12Z","cross_cats_sorted":[],"title_canon_sha256":"8a8578253dc619a90b733fc31afb1715379e2fd5d68f6f4bb7e421371c91e749","abstract_canon_sha256":"6e323f5b3464737597bf03b25f604c9571d0dae785b5fbf443bf3c750edf509a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:46:30.521935Z","signature_b64":"OLcSdVyyVkFFCf5Q5Qg1tuKHBkEgnQZlQGmGYsLE/Z6hkBE/lONqhkAhitTYwyzRABKMrecQUyUHM8RAB6O8DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c42347ef1e630098b47fd4da29ef27913fc5d88c538f8c254c170a7f3975fbe6","last_reissued_at":"2026-07-05T01:46:30.521579Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:46:30.521579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spatio-Temporal Processing for Automatic Vehicle Detection in Wide-Area Aerial Video","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Jeffrey J. Rodriguez, Jeno Szep, Pratik Satam, Salim Hariri, Sundaresh Ram, Xin Gao","submitted_at":"2020-10-27T03:11:12Z","abstract_excerpt":"Vehicle detection in aerial videos often requires post-processing to eliminate false detections. This paper presents a spatio-temporal processing scheme to improve automatic vehicle detection performance by replacing the thresholding step of existing detection algorithms with multi-neighborhood hysteresis thresholding for foreground pixel classification. The proposed scheme also performs spatial post-processing, which includes morphological opening and closing to shape and prune the detected objects, and temporal post-processing to further reduce false detections. We evaluate the performance o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.14025","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/2010.14025/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":"2010.14025","created_at":"2026-07-05T01:46:30.521639+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.14025v1","created_at":"2026-07-05T01:46:30.521639+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.14025","created_at":"2026-07-05T01:46:30.521639+00:00"},{"alias_kind":"pith_short_12","alias_value":"YQRUP3Y6MMAJ","created_at":"2026-07-05T01:46:30.521639+00:00"},{"alias_kind":"pith_short_16","alias_value":"YQRUP3Y6MMAJRND7","created_at":"2026-07-05T01:46:30.521639+00:00"},{"alias_kind":"pith_short_8","alias_value":"YQRUP3Y6","created_at":"2026-07-05T01:46:30.521639+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/YQRUP3Y6MMAJRND72TNCT3ZHSE","json":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE.json","graph_json":"https://pith.science/api/pith-number/YQRUP3Y6MMAJRND72TNCT3ZHSE/graph.json","events_json":"https://pith.science/api/pith-number/YQRUP3Y6MMAJRND72TNCT3ZHSE/events.json","paper":"https://pith.science/paper/YQRUP3Y6"},"agent_actions":{"view_html":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE","download_json":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE.json","view_paper":"https://pith.science/paper/YQRUP3Y6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.14025&json=true","fetch_graph":"https://pith.science/api/pith-number/YQRUP3Y6MMAJRND72TNCT3ZHSE/graph.json","fetch_events":"https://pith.science/api/pith-number/YQRUP3Y6MMAJRND72TNCT3ZHSE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE/action/storage_attestation","attest_author":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE/action/author_attestation","sign_citation":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE/action/citation_signature","submit_replication":"https://pith.science/pith/YQRUP3Y6MMAJRND72TNCT3ZHSE/action/replication_record"}},"created_at":"2026-07-05T01:46:30.521639+00:00","updated_at":"2026-07-05T01:46:30.521639+00:00"}