{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:YN6XKVGMNDV5VETSWZQ5XV4MO5","short_pith_number":"pith:YN6XKVGM","canonical_record":{"source":{"id":"1602.00386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-01T04:07:32Z","cross_cats_sorted":[],"title_canon_sha256":"a1cf2fc80508ff8d41cdc697da8cba54e9fc28b5f3192cce455133782707d3c6","abstract_canon_sha256":"4c7cce921166d28f5842ddedd490538805e24e5ee62ec9584131e6ec1c145066"},"schema_version":"1.0"},"canonical_sha256":"c37d7554cc68ebda9272b661dbd78c77700182e39d552348425b2781a7e2a4f7","source":{"kind":"arxiv","id":"1602.00386","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.00386","created_at":"2026-05-18T01:21:35Z"},{"alias_kind":"arxiv_version","alias_value":"1602.00386v1","created_at":"2026-05-18T01:21:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00386","created_at":"2026-05-18T01:21:35Z"},{"alias_kind":"pith_short_12","alias_value":"YN6XKVGMNDV5","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YN6XKVGMNDV5VETS","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YN6XKVGM","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:YN6XKVGMNDV5VETSWZQ5XV4MO5","target":"record","payload":{"canonical_record":{"source":{"id":"1602.00386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-01T04:07:32Z","cross_cats_sorted":[],"title_canon_sha256":"a1cf2fc80508ff8d41cdc697da8cba54e9fc28b5f3192cce455133782707d3c6","abstract_canon_sha256":"4c7cce921166d28f5842ddedd490538805e24e5ee62ec9584131e6ec1c145066"},"schema_version":"1.0"},"canonical_sha256":"c37d7554cc68ebda9272b661dbd78c77700182e39d552348425b2781a7e2a4f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:35.512183Z","signature_b64":"8trcAEOeCtypbh5X9LSE/zT/K/FZ2YgWinxvAgjH0GkzhH14NCjRaVUeG5LYS+KEgdeAtzqkBQY0+7OnAw3FDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c37d7554cc68ebda9272b661dbd78c77700182e39d552348425b2781a7e2a4f7","last_reissued_at":"2026-05-18T01:21:35.511696Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:35.511696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.00386","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":"2026-05-18T01:21:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rLEyocwV8/gdynDHL2tdtMIv5yaQiY34TGQzlT6sEyBucmUmOmyjTdULNVUJmKGF40amG7PisliMvAbw/RZ5Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:39:10.991896Z"},"content_sha256":"5c8ee7064bffbd134226dcd651740320c62067ed5e307e7b96a24c2217f5d1c0","schema_version":"1.0","event_id":"sha256:5c8ee7064bffbd134226dcd651740320c62067ed5e307e7b96a24c2217f5d1c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:YN6XKVGMNDV5VETSWZQ5XV4MO5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Wong, Mike Jamieson, Mohammad Javad Shafiee, Parthipan Siva","submitted_at":"2016-02-01T04:07:32Z","abstract_excerpt":"The problem of automated crowd segmentation and counting has garnered significant interest in the field of video surveillance. This paper proposes a novel scene invariant crowd segmentation and counting algorithm designed with high accuracy yet low computational complexity in mind, which is key for widespread industrial adoption. A novel low-complexity, scale-normalized feature called Histogram of Moving Gradients (HoMG) is introduced for highly effective spatiotemporal representation of individuals and crowds within a video. Real-time crowd segmentation is achieved via boosted cascade of weak"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00386","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":"2026-05-18T01:21:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cOW4ibSEcIwLnw5fIYCkOC5R3Zr/8qGO1G+c2r+DG5efOaqNl10AJ1O+MSnK9XScSwxXJSPGa+rwddlG3VD7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:39:10.992257Z"},"content_sha256":"2a4471be0bb363ae83f6e89b43771738caf20d6ccac4339947845bae24809547","schema_version":"1.0","event_id":"sha256:2a4471be0bb363ae83f6e89b43771738caf20d6ccac4339947845bae24809547"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5/bundle.json","state_url":"https://pith.science/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5/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":"2026-06-12T09:39:10Z","links":{"resolver":"https://pith.science/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5","bundle":"https://pith.science/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5/bundle.json","state":"https://pith.science/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YN6XKVGMNDV5VETSWZQ5XV4MO5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YN6XKVGMNDV5VETSWZQ5XV4MO5","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":"4c7cce921166d28f5842ddedd490538805e24e5ee62ec9584131e6ec1c145066","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-01T04:07:32Z","title_canon_sha256":"a1cf2fc80508ff8d41cdc697da8cba54e9fc28b5f3192cce455133782707d3c6"},"schema_version":"1.0","source":{"id":"1602.00386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.00386","created_at":"2026-05-18T01:21:35Z"},{"alias_kind":"arxiv_version","alias_value":"1602.00386v1","created_at":"2026-05-18T01:21:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00386","created_at":"2026-05-18T01:21:35Z"},{"alias_kind":"pith_short_12","alias_value":"YN6XKVGMNDV5","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YN6XKVGMNDV5VETS","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YN6XKVGM","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:2a4471be0bb363ae83f6e89b43771738caf20d6ccac4339947845bae24809547","target":"graph","created_at":"2026-05-18T01:21:35Z","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":"The problem of automated crowd segmentation and counting has garnered significant interest in the field of video surveillance. This paper proposes a novel scene invariant crowd segmentation and counting algorithm designed with high accuracy yet low computational complexity in mind, which is key for widespread industrial adoption. A novel low-complexity, scale-normalized feature called Histogram of Moving Gradients (HoMG) is introduced for highly effective spatiotemporal representation of individuals and crowds within a video. Real-time crowd segmentation is achieved via boosted cascade of weak","authors_text":"Alexander Wong, Mike Jamieson, Mohammad Javad Shafiee, Parthipan Siva","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-01T04:07:32Z","title":"Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00386","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":"sha256:5c8ee7064bffbd134226dcd651740320c62067ed5e307e7b96a24c2217f5d1c0","target":"record","created_at":"2026-05-18T01:21:35Z","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":"4c7cce921166d28f5842ddedd490538805e24e5ee62ec9584131e6ec1c145066","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-01T04:07:32Z","title_canon_sha256":"a1cf2fc80508ff8d41cdc697da8cba54e9fc28b5f3192cce455133782707d3c6"},"schema_version":"1.0","source":{"id":"1602.00386","kind":"arxiv","version":1}},"canonical_sha256":"c37d7554cc68ebda9272b661dbd78c77700182e39d552348425b2781a7e2a4f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c37d7554cc68ebda9272b661dbd78c77700182e39d552348425b2781a7e2a4f7","first_computed_at":"2026-05-18T01:21:35.511696Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:21:35.511696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8trcAEOeCtypbh5X9LSE/zT/K/FZ2YgWinxvAgjH0GkzhH14NCjRaVUeG5LYS+KEgdeAtzqkBQY0+7OnAw3FDA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:21:35.512183Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.00386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c8ee7064bffbd134226dcd651740320c62067ed5e307e7b96a24c2217f5d1c0","sha256:2a4471be0bb363ae83f6e89b43771738caf20d6ccac4339947845bae24809547"],"state_sha256":"ae23220b84acbd97527c9c3cb5eb1aa4aa8c244bd0e5c7be6d44d35ee799382e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b1E7w4rX1rYYviBugZRXlyiB+DiJ/+hWojiRyRT8hj8SzqlURDXC3ZOu0HBWKjbh4np3qPjRbghtqt/L4yqfDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T09:39:10.994375Z","bundle_sha256":"362093758b4afb1d643e45927626122c242a185d29f721c1538266a417f2c3ee"}}