{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:FQ4L55M23BNYOQMP3KXORHI3Q5","short_pith_number":"pith:FQ4L55M2","schema_version":"1.0","canonical_sha256":"2c38bef59ad85b87418fdaaee89d1b8766bb06c9755879b6290c0fded7873389","source":{"kind":"arxiv","id":"1801.09005","version":1},"attestation_state":"computed","paper":{"title":"A Two-point Method for PTZ Camera Calibration in Sports","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangrui Zhu, James J. Little, Jianhui Chen","submitted_at":"2018-01-26T23:37:03Z","abstract_excerpt":"Calibrating narrow field of view soccer cameras is challenging because there are very few field markings in the image. Unlike previous solutions, we propose a two-point method, which requires only two point correspondences given the prior knowledge of base location and orientation of a pan-tilt-zoom (PTZ) camera. We deploy this new calibration method to annotate pan-tilt-zoom data from soccer videos. The collected data are used as references for new images. We also propose a fast random forest method to predict pan-tilt angles without image-to-image feature matching, leading to an efficient ca"},"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":"1801.09005","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-26T23:37:03Z","cross_cats_sorted":[],"title_canon_sha256":"8925d4d2cdbc17f4db9d1c44bd9c1bd50a14ec99c25f229453d9bf69df1a2363","abstract_canon_sha256":"23ae43488103f752008b669babeaafbaf553e7aaf5545478e72119ad4ed5177a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:58.893818Z","signature_b64":"qAxc0VNkubwkkIteA1gqb7fJGxsCDIKaga2XggexzU0ahG8LkEj6XEc2mbOJsT6tnwa1OdsJrmW2dQFMhE+JAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c38bef59ad85b87418fdaaee89d1b8766bb06c9755879b6290c0fded7873389","last_reissued_at":"2026-05-18T00:24:58.893196Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:58.893196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Two-point Method for PTZ Camera Calibration in Sports","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangrui Zhu, James J. Little, Jianhui Chen","submitted_at":"2018-01-26T23:37:03Z","abstract_excerpt":"Calibrating narrow field of view soccer cameras is challenging because there are very few field markings in the image. Unlike previous solutions, we propose a two-point method, which requires only two point correspondences given the prior knowledge of base location and orientation of a pan-tilt-zoom (PTZ) camera. We deploy this new calibration method to annotate pan-tilt-zoom data from soccer videos. The collected data are used as references for new images. We also propose a fast random forest method to predict pan-tilt angles without image-to-image feature matching, leading to an efficient ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09005","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":"1801.09005","created_at":"2026-05-18T00:24:58.893285+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.09005v1","created_at":"2026-05-18T00:24:58.893285+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09005","created_at":"2026-05-18T00:24:58.893285+00:00"},{"alias_kind":"pith_short_12","alias_value":"FQ4L55M23BNY","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_16","alias_value":"FQ4L55M23BNYOQMP","created_at":"2026-05-18T12:32:25.280505+00:00"},{"alias_kind":"pith_short_8","alias_value":"FQ4L55M2","created_at":"2026-05-18T12:32:25.280505+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/FQ4L55M23BNYOQMP3KXORHI3Q5","json":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5.json","graph_json":"https://pith.science/api/pith-number/FQ4L55M23BNYOQMP3KXORHI3Q5/graph.json","events_json":"https://pith.science/api/pith-number/FQ4L55M23BNYOQMP3KXORHI3Q5/events.json","paper":"https://pith.science/paper/FQ4L55M2"},"agent_actions":{"view_html":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5","download_json":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5.json","view_paper":"https://pith.science/paper/FQ4L55M2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.09005&json=true","fetch_graph":"https://pith.science/api/pith-number/FQ4L55M23BNYOQMP3KXORHI3Q5/graph.json","fetch_events":"https://pith.science/api/pith-number/FQ4L55M23BNYOQMP3KXORHI3Q5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5/action/storage_attestation","attest_author":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5/action/author_attestation","sign_citation":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5/action/citation_signature","submit_replication":"https://pith.science/pith/FQ4L55M23BNYOQMP3KXORHI3Q5/action/replication_record"}},"created_at":"2026-05-18T00:24:58.893285+00:00","updated_at":"2026-05-18T00:24:58.893285+00:00"}