{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:WP724GHRYCML2QNALJ74UAGWRL","short_pith_number":"pith:WP724GHR","canonical_record":{"source":{"id":"1305.6918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-29T19:46:19Z","cross_cats_sorted":[],"title_canon_sha256":"49777379fb6f52a698a8ff791405c172296c952086b581026902a2d43b5e848b","abstract_canon_sha256":"94f3cb771ac3c00d88b0ba2710f492ac8daff47ee148a1604002ed551b5d842b"},"schema_version":"1.0"},"canonical_sha256":"b3ffae18f1c098bd41a05a7fca00d68adcbfb6286f743d323a503d76d75ea863","source":{"kind":"arxiv","id":"1305.6918","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.6918","created_at":"2026-05-18T03:22:17Z"},{"alias_kind":"arxiv_version","alias_value":"1305.6918v1","created_at":"2026-05-18T03:22:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.6918","created_at":"2026-05-18T03:22:17Z"},{"alias_kind":"pith_short_12","alias_value":"WP724GHRYCML","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_16","alias_value":"WP724GHRYCML2QNA","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_8","alias_value":"WP724GHR","created_at":"2026-05-18T12:28:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:WP724GHRYCML2QNALJ74UAGWRL","target":"record","payload":{"canonical_record":{"source":{"id":"1305.6918","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-29T19:46:19Z","cross_cats_sorted":[],"title_canon_sha256":"49777379fb6f52a698a8ff791405c172296c952086b581026902a2d43b5e848b","abstract_canon_sha256":"94f3cb771ac3c00d88b0ba2710f492ac8daff47ee148a1604002ed551b5d842b"},"schema_version":"1.0"},"canonical_sha256":"b3ffae18f1c098bd41a05a7fca00d68adcbfb6286f743d323a503d76d75ea863","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:22:17.670783Z","signature_b64":"LhbPDSFS1Uu41kkf4OqmjuvnW6aOMU/zVXKzYcwhUutFF6xYfqBrx11hoWDiFPfWthAnJidwIm2fsZMD5M99Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3ffae18f1c098bd41a05a7fca00d68adcbfb6286f743d323a503d76d75ea863","last_reissued_at":"2026-05-18T03:22:17.670272Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:22:17.670272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1305.6918","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":"2026-05-18T03:22:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ffp70vvfFqEiEhqDys+LTNT5z5btvhQTeetjcTgQ8yAriVUO4YVENS7n7f0F7tgiBZLJaYoYBYos1uAyqyElAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:59:03.132257Z"},"content_sha256":"012372dfa8a21b6be3e38fc9dac307b5e34dd806de1307d03c517a24d8e2055b","schema_version":"1.0","event_id":"sha256:012372dfa8a21b6be3e38fc9dac307b5e34dd806de1307d03c517a24d8e2055b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:WP724GHRYCML2QNALJ74UAGWRL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexandre X. Falc\\~ao, Amy Esler, Guillermo Sapiro, Mariano Tepper, Nikolaos Papanikolopoulos, Thiago V. Spina, Vassilios Morellas","submitted_at":"2013-05-29T19:46:19Z","abstract_excerpt":"Video object segmentation is a challenging problem due to the presence of deformable, connected, and articulated objects, intra- and inter-object occlusions, object motion, and poor lighting. Some of these challenges call for object models that can locate a desired object and separate it from its surrounding background, even when both share similar colors and textures. In this work, we extend a fuzzy object model, named cloud system model (CSM), to handle video segmentation, and evaluate it for body pose estimation of toddlers at risk of autism. CSM has been successfully used to model the part"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.6918","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":"2026-05-18T03:22:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ugkunjP+kfniKbGULD51+MyGpYgXg1kjm2uUSyYCKMr1Nns+Go/a/Xgnxx+u5IqA4IjK75bIp8LOrc0sdtEkCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T22:59:03.132941Z"},"content_sha256":"f4546056f801ff7819071e92e2e49d2243b9dda82f87b42363eff05363f90572","schema_version":"1.0","event_id":"sha256:f4546056f801ff7819071e92e2e49d2243b9dda82f87b42363eff05363f90572"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WP724GHRYCML2QNALJ74UAGWRL/bundle.json","state_url":"https://pith.science/pith/WP724GHRYCML2QNALJ74UAGWRL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WP724GHRYCML2QNALJ74UAGWRL/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":"2026-05-27T22:59:03Z","links":{"resolver":"https://pith.science/pith/WP724GHRYCML2QNALJ74UAGWRL","bundle":"https://pith.science/pith/WP724GHRYCML2QNALJ74UAGWRL/bundle.json","state":"https://pith.science/pith/WP724GHRYCML2QNALJ74UAGWRL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WP724GHRYCML2QNALJ74UAGWRL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:WP724GHRYCML2QNALJ74UAGWRL","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":"94f3cb771ac3c00d88b0ba2710f492ac8daff47ee148a1604002ed551b5d842b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-29T19:46:19Z","title_canon_sha256":"49777379fb6f52a698a8ff791405c172296c952086b581026902a2d43b5e848b"},"schema_version":"1.0","source":{"id":"1305.6918","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1305.6918","created_at":"2026-05-18T03:22:17Z"},{"alias_kind":"arxiv_version","alias_value":"1305.6918v1","created_at":"2026-05-18T03:22:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.6918","created_at":"2026-05-18T03:22:17Z"},{"alias_kind":"pith_short_12","alias_value":"WP724GHRYCML","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_16","alias_value":"WP724GHRYCML2QNA","created_at":"2026-05-18T12:28:04Z"},{"alias_kind":"pith_short_8","alias_value":"WP724GHR","created_at":"2026-05-18T12:28:04Z"}],"graph_snapshots":[{"event_id":"sha256:f4546056f801ff7819071e92e2e49d2243b9dda82f87b42363eff05363f90572","target":"graph","created_at":"2026-05-18T03:22:17Z","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":"Video object segmentation is a challenging problem due to the presence of deformable, connected, and articulated objects, intra- and inter-object occlusions, object motion, and poor lighting. Some of these challenges call for object models that can locate a desired object and separate it from its surrounding background, even when both share similar colors and textures. In this work, we extend a fuzzy object model, named cloud system model (CSM), to handle video segmentation, and evaluate it for body pose estimation of toddlers at risk of autism. CSM has been successfully used to model the part","authors_text":"Alexandre X. Falc\\~ao, Amy Esler, Guillermo Sapiro, Mariano Tepper, Nikolaos Papanikolopoulos, Thiago V. Spina, Vassilios Morellas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-29T19:46:19Z","title":"Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.6918","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":"sha256:012372dfa8a21b6be3e38fc9dac307b5e34dd806de1307d03c517a24d8e2055b","target":"record","created_at":"2026-05-18T03:22:17Z","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":"94f3cb771ac3c00d88b0ba2710f492ac8daff47ee148a1604002ed551b5d842b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-05-29T19:46:19Z","title_canon_sha256":"49777379fb6f52a698a8ff791405c172296c952086b581026902a2d43b5e848b"},"schema_version":"1.0","source":{"id":"1305.6918","kind":"arxiv","version":1}},"canonical_sha256":"b3ffae18f1c098bd41a05a7fca00d68adcbfb6286f743d323a503d76d75ea863","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3ffae18f1c098bd41a05a7fca00d68adcbfb6286f743d323a503d76d75ea863","first_computed_at":"2026-05-18T03:22:17.670272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:22:17.670272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LhbPDSFS1Uu41kkf4OqmjuvnW6aOMU/zVXKzYcwhUutFF6xYfqBrx11hoWDiFPfWthAnJidwIm2fsZMD5M99Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:22:17.670783Z","signed_message":"canonical_sha256_bytes"},"source_id":"1305.6918","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:012372dfa8a21b6be3e38fc9dac307b5e34dd806de1307d03c517a24d8e2055b","sha256:f4546056f801ff7819071e92e2e49d2243b9dda82f87b42363eff05363f90572"],"state_sha256":"44fe39932806eefcb551523680a49f2e0ece00f20aaa962dbf3d31e2a2477237"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3wfl49QyBFAui+0LacyjFsLmtuM1xEFOVjNTaXywHNv4SEj/6x6DiI9ODZjmBLnFxan5B4cg68BVDsZa1YowBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T22:59:03.136692Z","bundle_sha256":"558663f569b8512138737d86e0ab9eb4d3f77a84145339b82cd480c93e6aef9c"}}