{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JQWMYM3DLIYGHESWDK4MDS36HI","short_pith_number":"pith:JQWMYM3D","canonical_record":{"source":{"id":"1804.06680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T12:29:42Z","cross_cats_sorted":[],"title_canon_sha256":"227d73ad5f8192c1fdfe489394dd1aa97a6865a879f316853308e3ec13d5a494","abstract_canon_sha256":"44ecc0564a3b02a36ef36138525e297a347e9e7d429ec3998884a6b9afa1345e"},"schema_version":"1.0"},"canonical_sha256":"4c2ccc33635a306392561ab8c1cb7e3a08a9d2e1ea4a7eb8137f601fe6d3c39d","source":{"kind":"arxiv","id":"1804.06680","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.06680","created_at":"2026-05-18T00:13:44Z"},{"alias_kind":"arxiv_version","alias_value":"1804.06680v1","created_at":"2026-05-18T00:13:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06680","created_at":"2026-05-18T00:13:44Z"},{"alias_kind":"pith_short_12","alias_value":"JQWMYM3DLIYG","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JQWMYM3DLIYGHESW","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JQWMYM3D","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JQWMYM3DLIYGHESWDK4MDS36HI","target":"record","payload":{"canonical_record":{"source":{"id":"1804.06680","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T12:29:42Z","cross_cats_sorted":[],"title_canon_sha256":"227d73ad5f8192c1fdfe489394dd1aa97a6865a879f316853308e3ec13d5a494","abstract_canon_sha256":"44ecc0564a3b02a36ef36138525e297a347e9e7d429ec3998884a6b9afa1345e"},"schema_version":"1.0"},"canonical_sha256":"4c2ccc33635a306392561ab8c1cb7e3a08a9d2e1ea4a7eb8137f601fe6d3c39d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:44.405195Z","signature_b64":"Nix/Xu1+4GCfF3QQgE529g+++CnrnX8Ei/Gc3FHU3fIK2HkgqD/zjmbA0b34q+pcS7uHgiynAsk5rdQSaeV4Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4c2ccc33635a306392561ab8c1cb7e3a08a9d2e1ea4a7eb8137f601fe6d3c39d","last_reissued_at":"2026-05-18T00:13:44.404744Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:44.404744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.06680","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":"2026-05-18T00:13:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GXmGTOg54LskdboUwrfuIs1fidal8UCLwotdUgE+8iWNi/Aawv6dEStVF9c+k0XYqo3sSgUTLLVL4Pc0ACAYCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T18:20:19.139724Z"},"content_sha256":"6012a1e01b0b8aad3096f0e6d46865fa5ca02ffd00b31d374a2870dd95f006c7","schema_version":"1.0","event_id":"sha256:6012a1e01b0b8aad3096f0e6d46865fa5ca02ffd00b31d374a2870dd95f006c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JQWMYM3DLIYGHESWDK4MDS36HI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Debi Prosad Dogra, Partha Pratim Roy, Santhosh Kelathodi Kumaran","submitted_at":"2018-04-18T12:29:42Z","abstract_excerpt":"Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos. One of the challenges for detecting abnormalities in live videos is real-time detection of objects in a non-parametric way. Another challenge is to efficiently represent the state of objects temporally across frames. In this paper, a Gibbs sampling based heuristic model referred to as Temporal Unknown Incremental Clustering (TUIC) has been proposed to cluster pixels with motion. Pixel motion is first detected using optical flow and a Bayesian algorithm has been applied to as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06680","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":"2026-05-18T00:13:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OSm+ufrFfFKpVDFVeoNHnUEuvSTI4ALVJKkMaEzXwlADhrpUDdycqE/ZwwGOONBqUunUqV/il2bPrxluyWh0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T18:20:19.140127Z"},"content_sha256":"2cc9add0677ec08e695976f286feddf4a6204c9c685873bcca386f896e2a7034","schema_version":"1.0","event_id":"sha256:2cc9add0677ec08e695976f286feddf4a6204c9c685873bcca386f896e2a7034"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JQWMYM3DLIYGHESWDK4MDS36HI/bundle.json","state_url":"https://pith.science/pith/JQWMYM3DLIYGHESWDK4MDS36HI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JQWMYM3DLIYGHESWDK4MDS36HI/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":"2026-05-25T18:20:19Z","links":{"resolver":"https://pith.science/pith/JQWMYM3DLIYGHESWDK4MDS36HI","bundle":"https://pith.science/pith/JQWMYM3DLIYGHESWDK4MDS36HI/bundle.json","state":"https://pith.science/pith/JQWMYM3DLIYGHESWDK4MDS36HI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JQWMYM3DLIYGHESWDK4MDS36HI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JQWMYM3DLIYGHESWDK4MDS36HI","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":"44ecc0564a3b02a36ef36138525e297a347e9e7d429ec3998884a6b9afa1345e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T12:29:42Z","title_canon_sha256":"227d73ad5f8192c1fdfe489394dd1aa97a6865a879f316853308e3ec13d5a494"},"schema_version":"1.0","source":{"id":"1804.06680","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.06680","created_at":"2026-05-18T00:13:44Z"},{"alias_kind":"arxiv_version","alias_value":"1804.06680v1","created_at":"2026-05-18T00:13:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06680","created_at":"2026-05-18T00:13:44Z"},{"alias_kind":"pith_short_12","alias_value":"JQWMYM3DLIYG","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JQWMYM3DLIYGHESW","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JQWMYM3D","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:2cc9add0677ec08e695976f286feddf4a6204c9c685873bcca386f896e2a7034","target":"graph","created_at":"2026-05-18T00:13:44Z","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":"Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos. One of the challenges for detecting abnormalities in live videos is real-time detection of objects in a non-parametric way. Another challenge is to efficiently represent the state of objects temporally across frames. In this paper, a Gibbs sampling based heuristic model referred to as Temporal Unknown Incremental Clustering (TUIC) has been proposed to cluster pixels with motion. Pixel motion is first detected using optical flow and a Bayesian algorithm has been applied to as","authors_text":"Debi Prosad Dogra, Partha Pratim Roy, Santhosh Kelathodi Kumaran","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T12:29:42Z","title":"Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06680","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":"sha256:6012a1e01b0b8aad3096f0e6d46865fa5ca02ffd00b31d374a2870dd95f006c7","target":"record","created_at":"2026-05-18T00:13:44Z","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":"44ecc0564a3b02a36ef36138525e297a347e9e7d429ec3998884a6b9afa1345e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-18T12:29:42Z","title_canon_sha256":"227d73ad5f8192c1fdfe489394dd1aa97a6865a879f316853308e3ec13d5a494"},"schema_version":"1.0","source":{"id":"1804.06680","kind":"arxiv","version":1}},"canonical_sha256":"4c2ccc33635a306392561ab8c1cb7e3a08a9d2e1ea4a7eb8137f601fe6d3c39d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4c2ccc33635a306392561ab8c1cb7e3a08a9d2e1ea4a7eb8137f601fe6d3c39d","first_computed_at":"2026-05-18T00:13:44.404744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:44.404744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nix/Xu1+4GCfF3QQgE529g+++CnrnX8Ei/Gc3FHU3fIK2HkgqD/zjmbA0b34q+pcS7uHgiynAsk5rdQSaeV4Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:44.405195Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.06680","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6012a1e01b0b8aad3096f0e6d46865fa5ca02ffd00b31d374a2870dd95f006c7","sha256:2cc9add0677ec08e695976f286feddf4a6204c9c685873bcca386f896e2a7034"],"state_sha256":"e00100322d5add41445f87ddcc312a25925f95509dc7f5dbb3b28912a9a39f03"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AHYy2S6O9mTjCWUcf37pFapG1ogwGbFJT02fkvbmQWsxeb1jg1z0UuFNZgoKGaUCMatB5nRDdPggNQmgfLxbDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T18:20:19.143708Z","bundle_sha256":"024a4cc4569d3654f05484df33b181ba77500d95c563f644e19182ecf8faa51f"}}