{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:WLCA743NERBKDI3VUTDZCWWSPS","short_pith_number":"pith:WLCA743N","canonical_record":{"source":{"id":"1801.09646","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T17:42:33Z","cross_cats_sorted":[],"title_canon_sha256":"4c52b8c232d8dbb4787ac705d2d7fb1d74c0d0e5a9cef55b2374c4470acbd7f0","abstract_canon_sha256":"fc5b516a27b93ccceea733485e456b32e7b09273f59c0034d17948f6879de3fc"},"schema_version":"1.0"},"canonical_sha256":"b2c40ff36d2442a1a375a4c7915ad27c9df971a5792eb9d109fe162392e402ca","source":{"kind":"arxiv","id":"1801.09646","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.09646","created_at":"2026-05-18T00:24:54Z"},{"alias_kind":"arxiv_version","alias_value":"1801.09646v1","created_at":"2026-05-18T00:24:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09646","created_at":"2026-05-18T00:24:54Z"},{"alias_kind":"pith_short_12","alias_value":"WLCA743NERBK","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WLCA743NERBKDI3V","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WLCA743N","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:WLCA743NERBKDI3VUTDZCWWSPS","target":"record","payload":{"canonical_record":{"source":{"id":"1801.09646","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T17:42:33Z","cross_cats_sorted":[],"title_canon_sha256":"4c52b8c232d8dbb4787ac705d2d7fb1d74c0d0e5a9cef55b2374c4470acbd7f0","abstract_canon_sha256":"fc5b516a27b93ccceea733485e456b32e7b09273f59c0034d17948f6879de3fc"},"schema_version":"1.0"},"canonical_sha256":"b2c40ff36d2442a1a375a4c7915ad27c9df971a5792eb9d109fe162392e402ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:24:54.712540Z","signature_b64":"3VZOG3PNvWXuJAw0Uv8ePhIpnBTlEeZDmKIw67eNZPc6a16YgAdqYKn1D4XxrFhu7JiPIgfFTqm34qGIJvuODw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2c40ff36d2442a1a375a4c7915ad27c9df971a5792eb9d109fe162392e402ca","last_reissued_at":"2026-05-18T00:24:54.711982Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:24:54.711982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.09646","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:24:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b4ilTtd71I/Brvdkw5dWAiLyYM3wXHzx202hYy/RWXm9aleMnI/vm6FVo1R0LiGEdYaWVbQysErUnZ9ovdNCAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T22:12:34.783796Z"},"content_sha256":"2b069139328219d480efb8f72456d5c5c00f6e1679df7a8686e8fcc107cfc9f5","schema_version":"1.0","event_id":"sha256:2b069139328219d480efb8f72456d5c5c00f6e1679df7a8686e8fcc107cfc9f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:WLCA743NERBKDI3VUTDZCWWSPS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"David-Alexandre Beaupr\\'e, Guillaume-Alexandre Bilodeau, Nicolas Saunier","submitted_at":"2018-01-29T17:42:33Z","abstract_excerpt":"In this paper, we present a new method for detecting road users in an urban environment which leads to an improvement in multiple object tracking. Our method takes as an input a foreground image and improves the object detection and segmentation. This new image can be used as an input to trackers that use foreground blobs from background subtraction. The first step is to create foreground images for all the frames in an urban video. Then, starting from the original blobs of the foreground image, we merge the blobs that are close to one another and that have similar optical flow. The next step "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09646","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:24:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zwkzlL4V+ZTiSHwMfi8sdgfy+RA9gT+mLQsoHtLn2AQt8/4xs3Eabhu0QxnKHtVkWJqf2RY8rEaQwp9SrybcCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T22:12:34.784400Z"},"content_sha256":"d26f1e4adb799e8dc357cc4618f16002acc529675756377cc3721d395209db2e","schema_version":"1.0","event_id":"sha256:d26f1e4adb799e8dc357cc4618f16002acc529675756377cc3721d395209db2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WLCA743NERBKDI3VUTDZCWWSPS/bundle.json","state_url":"https://pith.science/pith/WLCA743NERBKDI3VUTDZCWWSPS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WLCA743NERBKDI3VUTDZCWWSPS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-31T22:12:34Z","links":{"resolver":"https://pith.science/pith/WLCA743NERBKDI3VUTDZCWWSPS","bundle":"https://pith.science/pith/WLCA743NERBKDI3VUTDZCWWSPS/bundle.json","state":"https://pith.science/pith/WLCA743NERBKDI3VUTDZCWWSPS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WLCA743NERBKDI3VUTDZCWWSPS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WLCA743NERBKDI3VUTDZCWWSPS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fc5b516a27b93ccceea733485e456b32e7b09273f59c0034d17948f6879de3fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T17:42:33Z","title_canon_sha256":"4c52b8c232d8dbb4787ac705d2d7fb1d74c0d0e5a9cef55b2374c4470acbd7f0"},"schema_version":"1.0","source":{"id":"1801.09646","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.09646","created_at":"2026-05-18T00:24:54Z"},{"alias_kind":"arxiv_version","alias_value":"1801.09646v1","created_at":"2026-05-18T00:24:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.09646","created_at":"2026-05-18T00:24:54Z"},{"alias_kind":"pith_short_12","alias_value":"WLCA743NERBK","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WLCA743NERBKDI3V","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WLCA743N","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:d26f1e4adb799e8dc357cc4618f16002acc529675756377cc3721d395209db2e","target":"graph","created_at":"2026-05-18T00:24:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper, we present a new method for detecting road users in an urban environment which leads to an improvement in multiple object tracking. Our method takes as an input a foreground image and improves the object detection and segmentation. This new image can be used as an input to trackers that use foreground blobs from background subtraction. The first step is to create foreground images for all the frames in an urban video. Then, starting from the original blobs of the foreground image, we merge the blobs that are close to one another and that have similar optical flow. The next step ","authors_text":"David-Alexandre Beaupr\\'e, Guillaume-Alexandre Bilodeau, Nicolas Saunier","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T17:42:33Z","title":"Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.09646","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2b069139328219d480efb8f72456d5c5c00f6e1679df7a8686e8fcc107cfc9f5","target":"record","created_at":"2026-05-18T00:24:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"fc5b516a27b93ccceea733485e456b32e7b09273f59c0034d17948f6879de3fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-29T17:42:33Z","title_canon_sha256":"4c52b8c232d8dbb4787ac705d2d7fb1d74c0d0e5a9cef55b2374c4470acbd7f0"},"schema_version":"1.0","source":{"id":"1801.09646","kind":"arxiv","version":1}},"canonical_sha256":"b2c40ff36d2442a1a375a4c7915ad27c9df971a5792eb9d109fe162392e402ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2c40ff36d2442a1a375a4c7915ad27c9df971a5792eb9d109fe162392e402ca","first_computed_at":"2026-05-18T00:24:54.711982Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:24:54.711982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3VZOG3PNvWXuJAw0Uv8ePhIpnBTlEeZDmKIw67eNZPc6a16YgAdqYKn1D4XxrFhu7JiPIgfFTqm34qGIJvuODw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:24:54.712540Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.09646","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b069139328219d480efb8f72456d5c5c00f6e1679df7a8686e8fcc107cfc9f5","sha256:d26f1e4adb799e8dc357cc4618f16002acc529675756377cc3721d395209db2e"],"state_sha256":"ad787ce0cc2f4531b0920e032d360ac29f85a000d016dcf30febfb629f7a5a77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e2yv0VlpYX/ICPw9ExtSeL0wXaPM9q3eTrLwjjJ4OPsFErit8tqgZ+FquK3MPe7p94aC6nE9lhveZw+xKCNgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T22:12:34.789839Z","bundle_sha256":"dee60b0a3e0a0be0b73d0aaad8afc6abfb9e84927119e6ec4f3dbe434cbbd605"}}