{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:HES5MK4QCFNEAIQM3LVRWRSJCG","short_pith_number":"pith:HES5MK4Q","schema_version":"1.0","canonical_sha256":"3925d62b90115a40220cdaeb1b46491191f1f6df335406b0540e1e1c575c41cf","source":{"kind":"arxiv","id":"1803.07985","version":1},"attestation_state":"computed","paper":{"title":"BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andreas J\\\"org, Benjamin Wild, Claudia Winklmayr, David Bierbach, David Dormagen, Hauke J\\\"urgen M\\\"onck, Jonas Piotrowski, Julian Tanke, Tim Landgraf, Tobias von Falkenhausen","submitted_at":"2018-03-21T16:12:18Z","abstract_excerpt":"The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specialized software products exist to detect and track animals' positions in simple (laboratory) environments. Tracking animals in their natural environments, however, often requires substantial customization of the image processing algorithms to the problem-specific image characteristics. Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are e"},"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":"1803.07985","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-21T16:12:18Z","cross_cats_sorted":[],"title_canon_sha256":"e1b69667347816d90c98b110cd537c8bd4c963a0550f59d1af70c93855a541db","abstract_canon_sha256":"3a1c5cc92a133c68323160945fb1305e84374a8cdac1e4d62bc193f1000956bb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:28.334140Z","signature_b64":"e19YHiV9QsloqeYgqrN3z1mR2aqniCwQOagJizZVH0Cck9/NM8NUUlw54uIHXPvQ4a4zOaWGcV4PjLb7pCY8Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3925d62b90115a40220cdaeb1b46491191f1f6df335406b0540e1e1c575c41cf","last_reissued_at":"2026-05-18T00:20:28.333611Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:28.333611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andreas J\\\"org, Benjamin Wild, Claudia Winklmayr, David Bierbach, David Dormagen, Hauke J\\\"urgen M\\\"onck, Jonas Piotrowski, Julian Tanke, Tim Landgraf, Tobias von Falkenhausen","submitted_at":"2018-03-21T16:12:18Z","abstract_excerpt":"The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specialized software products exist to detect and track animals' positions in simple (laboratory) environments. Tracking animals in their natural environments, however, often requires substantial customization of the image processing algorithms to the problem-specific image characteristics. Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.07985","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":"1803.07985","created_at":"2026-05-18T00:20:28.333702+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.07985v1","created_at":"2026-05-18T00:20:28.333702+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.07985","created_at":"2026-05-18T00:20:28.333702+00:00"},{"alias_kind":"pith_short_12","alias_value":"HES5MK4QCFNE","created_at":"2026-05-18T12:32:28.185984+00:00"},{"alias_kind":"pith_short_16","alias_value":"HES5MK4QCFNEAIQM","created_at":"2026-05-18T12:32:28.185984+00:00"},{"alias_kind":"pith_short_8","alias_value":"HES5MK4Q","created_at":"2026-05-18T12:32:28.185984+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/HES5MK4QCFNEAIQM3LVRWRSJCG","json":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG.json","graph_json":"https://pith.science/api/pith-number/HES5MK4QCFNEAIQM3LVRWRSJCG/graph.json","events_json":"https://pith.science/api/pith-number/HES5MK4QCFNEAIQM3LVRWRSJCG/events.json","paper":"https://pith.science/paper/HES5MK4Q"},"agent_actions":{"view_html":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG","download_json":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG.json","view_paper":"https://pith.science/paper/HES5MK4Q","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.07985&json=true","fetch_graph":"https://pith.science/api/pith-number/HES5MK4QCFNEAIQM3LVRWRSJCG/graph.json","fetch_events":"https://pith.science/api/pith-number/HES5MK4QCFNEAIQM3LVRWRSJCG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG/action/storage_attestation","attest_author":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG/action/author_attestation","sign_citation":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG/action/citation_signature","submit_replication":"https://pith.science/pith/HES5MK4QCFNEAIQM3LVRWRSJCG/action/replication_record"}},"created_at":"2026-05-18T00:20:28.333702+00:00","updated_at":"2026-05-18T00:20:28.333702+00:00"}