{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:LNRVRXYJUE3BFKKDQGGSXJKECO","short_pith_number":"pith:LNRVRXYJ","schema_version":"1.0","canonical_sha256":"5b6358df09a13612a943818d2ba54413a9901220001dab2e4c3b9937bea06f4d","source":{"kind":"arxiv","id":"1908.07904","version":1},"attestation_state":"computed","paper":{"title":"Effects of Blur and Deblurring to Visual Object Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Liang Wan, Qing Guo, Ruijun Gao, Song Wang, Wei Feng, Zhihao Chen","submitted_at":"2019-08-21T15:02:14Z","abstract_excerpt":"Intuitively, motion blur may hurt the performance of visual object tracking. However, we lack quantitative evaluation of tracker robustness to different levels of motion blur. Meanwhile, while image deblurring methods can produce visually clearer videos for pleasing human eyes, it is unknown whether visual object tracking can benefit from image deblurring or not. In this paper, we address these two problems by constructing a Blurred Video Tracking benchmark, which contains a variety of videos with different levels of motion blurs, as well as ground truth tracking results for evaluating tracker"},"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":"1908.07904","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-21T15:02:14Z","cross_cats_sorted":[],"title_canon_sha256":"2edccce14a9c912e733b59db1edb8f46807e15f9f3555f3f20e096678fc93657","abstract_canon_sha256":"6940dda5d9dce4a67c36d7364ec13252fdc28d59ed8a882fe04a492106c9c624"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:59:02.311639Z","signature_b64":"W4F0BZitRQvp+K3v82qO6LzfLEpUFA8mTNzN/AK67qfMA/23DAhfgCSiVA7d26lUJdZWWCiaucBoSkbLwArCBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b6358df09a13612a943818d2ba54413a9901220001dab2e4c3b9937bea06f4d","last_reissued_at":"2026-07-04T23:59:02.311239Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:59:02.311239Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Effects of Blur and Deblurring to Visual Object Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Liang Wan, Qing Guo, Ruijun Gao, Song Wang, Wei Feng, Zhihao Chen","submitted_at":"2019-08-21T15:02:14Z","abstract_excerpt":"Intuitively, motion blur may hurt the performance of visual object tracking. However, we lack quantitative evaluation of tracker robustness to different levels of motion blur. Meanwhile, while image deblurring methods can produce visually clearer videos for pleasing human eyes, it is unknown whether visual object tracking can benefit from image deblurring or not. In this paper, we address these two problems by constructing a Blurred Video Tracking benchmark, which contains a variety of videos with different levels of motion blurs, as well as ground truth tracking results for evaluating tracker"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.07904","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/1908.07904/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":"1908.07904","created_at":"2026-07-04T23:59:02.311295+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.07904v1","created_at":"2026-07-04T23:59:02.311295+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.07904","created_at":"2026-07-04T23:59:02.311295+00:00"},{"alias_kind":"pith_short_12","alias_value":"LNRVRXYJUE3B","created_at":"2026-07-04T23:59:02.311295+00:00"},{"alias_kind":"pith_short_16","alias_value":"LNRVRXYJUE3BFKKD","created_at":"2026-07-04T23:59:02.311295+00:00"},{"alias_kind":"pith_short_8","alias_value":"LNRVRXYJ","created_at":"2026-07-04T23:59:02.311295+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/LNRVRXYJUE3BFKKDQGGSXJKECO","json":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO.json","graph_json":"https://pith.science/api/pith-number/LNRVRXYJUE3BFKKDQGGSXJKECO/graph.json","events_json":"https://pith.science/api/pith-number/LNRVRXYJUE3BFKKDQGGSXJKECO/events.json","paper":"https://pith.science/paper/LNRVRXYJ"},"agent_actions":{"view_html":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO","download_json":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO.json","view_paper":"https://pith.science/paper/LNRVRXYJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.07904&json=true","fetch_graph":"https://pith.science/api/pith-number/LNRVRXYJUE3BFKKDQGGSXJKECO/graph.json","fetch_events":"https://pith.science/api/pith-number/LNRVRXYJUE3BFKKDQGGSXJKECO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO/action/storage_attestation","attest_author":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO/action/author_attestation","sign_citation":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO/action/citation_signature","submit_replication":"https://pith.science/pith/LNRVRXYJUE3BFKKDQGGSXJKECO/action/replication_record"}},"created_at":"2026-07-04T23:59:02.311295+00:00","updated_at":"2026-07-04T23:59:02.311295+00:00"}