{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:DYTVFVWXRIH5SF5PAEOB622PBE","short_pith_number":"pith:DYTVFVWX","canonical_record":{"source":{"id":"1707.06005","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-19T10:09:59Z","cross_cats_sorted":[],"title_canon_sha256":"1f4fa640a96a3a89ef0954de40670d6e8b28a6079e09f31e57ce0ccd62bfb28a","abstract_canon_sha256":"652ca202bacb0cbedaf324e47e473dcf0ab45c4f34d570a6f15ad182e29d9765"},"schema_version":"1.0"},"canonical_sha256":"1e2752d6d78a0fd917af011c1f6b4f091150ebc1185e333a3686fec8a59f9efa","source":{"kind":"arxiv","id":"1707.06005","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06005","created_at":"2026-05-18T00:39:45Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06005v2","created_at":"2026-05-18T00:39:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06005","created_at":"2026-05-18T00:39:45Z"},{"alias_kind":"pith_short_12","alias_value":"DYTVFVWXRIH5","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"DYTVFVWXRIH5SF5P","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"DYTVFVWX","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:DYTVFVWXRIH5SF5PAEOB622PBE","target":"record","payload":{"canonical_record":{"source":{"id":"1707.06005","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-19T10:09:59Z","cross_cats_sorted":[],"title_canon_sha256":"1f4fa640a96a3a89ef0954de40670d6e8b28a6079e09f31e57ce0ccd62bfb28a","abstract_canon_sha256":"652ca202bacb0cbedaf324e47e473dcf0ab45c4f34d570a6f15ad182e29d9765"},"schema_version":"1.0"},"canonical_sha256":"1e2752d6d78a0fd917af011c1f6b4f091150ebc1185e333a3686fec8a59f9efa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:45.631011Z","signature_b64":"u1qNRYv5teW59l/VCmyumz3KmnUqEXrzDSBeZNYnNIFOcjZAah9iUGuxwZioTcgT64busqvgUetDMpTOswsvCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e2752d6d78a0fd917af011c1f6b4f091150ebc1185e333a3686fec8a59f9efa","last_reissued_at":"2026-05-18T00:39:45.630306Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:45.630306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.06005","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Me8xxWl78JywNK7A3ajwVcxG7li+rlDFRTZMaKj0EfmtFdm6rhQ5hMkuKalRIZ1Hen5pLoePEV6TYXLj3jHkDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T05:01:39.502121Z"},"content_sha256":"5c487fa5f31340d7a2b2d9f2ae1f6022a84ca9f7e20a62944492216c2b564895","schema_version":"1.0","event_id":"sha256:5c487fa5f31340d7a2b2d9f2ae1f6022a84ca9f7e20a62944492216c2b564895"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:DYTVFVWXRIH5SF5PAEOB622PBE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Parts for Action Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cordelia Schmid, Gr\\'egory Rogez, Karteek Alahari, Nicolas Chesneau","submitted_at":"2017-07-19T10:09:59Z","abstract_excerpt":"In this paper, we propose a new framework for action localization that tracks people in videos and extracts full-body human tubes, i.e., spatio-temporal regions localizing actions, even in the case of occlusions or truncations. This is achieved by training a novel human part detector that scores visible parts while regressing full-body bounding boxes. The core of our method is a convolutional neural network which learns part proposals specific to certain body parts. These are then combined to detect people robustly in each frame. Our tracking algorithm connects the image detections temporally "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06005","kind":"arxiv","version":2},"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":"2026-05-18T00:39:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/UdQInOw8pIqRIlUzCsmle6I9raMOKiT7gY59ErjYBpWe8J3Z2YaifTGb4zvk6/RMQ3BtRF+ToMs+kztDTLQAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T05:01:39.502495Z"},"content_sha256":"2f791b6f62cd2a4c35f3617e38902490ee55e1a2374b25a9df43a8269011e45c","schema_version":"1.0","event_id":"sha256:2f791b6f62cd2a4c35f3617e38902490ee55e1a2374b25a9df43a8269011e45c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DYTVFVWXRIH5SF5PAEOB622PBE/bundle.json","state_url":"https://pith.science/pith/DYTVFVWXRIH5SF5PAEOB622PBE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DYTVFVWXRIH5SF5PAEOB622PBE/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":"2026-05-30T05:01:39Z","links":{"resolver":"https://pith.science/pith/DYTVFVWXRIH5SF5PAEOB622PBE","bundle":"https://pith.science/pith/DYTVFVWXRIH5SF5PAEOB622PBE/bundle.json","state":"https://pith.science/pith/DYTVFVWXRIH5SF5PAEOB622PBE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DYTVFVWXRIH5SF5PAEOB622PBE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:DYTVFVWXRIH5SF5PAEOB622PBE","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":"652ca202bacb0cbedaf324e47e473dcf0ab45c4f34d570a6f15ad182e29d9765","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-19T10:09:59Z","title_canon_sha256":"1f4fa640a96a3a89ef0954de40670d6e8b28a6079e09f31e57ce0ccd62bfb28a"},"schema_version":"1.0","source":{"id":"1707.06005","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.06005","created_at":"2026-05-18T00:39:45Z"},{"alias_kind":"arxiv_version","alias_value":"1707.06005v2","created_at":"2026-05-18T00:39:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.06005","created_at":"2026-05-18T00:39:45Z"},{"alias_kind":"pith_short_12","alias_value":"DYTVFVWXRIH5","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"DYTVFVWXRIH5SF5P","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"DYTVFVWX","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:2f791b6f62cd2a4c35f3617e38902490ee55e1a2374b25a9df43a8269011e45c","target":"graph","created_at":"2026-05-18T00:39:45Z","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 propose a new framework for action localization that tracks people in videos and extracts full-body human tubes, i.e., spatio-temporal regions localizing actions, even in the case of occlusions or truncations. This is achieved by training a novel human part detector that scores visible parts while regressing full-body bounding boxes. The core of our method is a convolutional neural network which learns part proposals specific to certain body parts. These are then combined to detect people robustly in each frame. Our tracking algorithm connects the image detections temporally ","authors_text":"Cordelia Schmid, Gr\\'egory Rogez, Karteek Alahari, Nicolas Chesneau","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-19T10:09:59Z","title":"Detecting Parts for Action Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.06005","kind":"arxiv","version":2},"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":"sha256:5c487fa5f31340d7a2b2d9f2ae1f6022a84ca9f7e20a62944492216c2b564895","target":"record","created_at":"2026-05-18T00:39:45Z","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":"652ca202bacb0cbedaf324e47e473dcf0ab45c4f34d570a6f15ad182e29d9765","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-19T10:09:59Z","title_canon_sha256":"1f4fa640a96a3a89ef0954de40670d6e8b28a6079e09f31e57ce0ccd62bfb28a"},"schema_version":"1.0","source":{"id":"1707.06005","kind":"arxiv","version":2}},"canonical_sha256":"1e2752d6d78a0fd917af011c1f6b4f091150ebc1185e333a3686fec8a59f9efa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e2752d6d78a0fd917af011c1f6b4f091150ebc1185e333a3686fec8a59f9efa","first_computed_at":"2026-05-18T00:39:45.630306Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:45.630306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u1qNRYv5teW59l/VCmyumz3KmnUqEXrzDSBeZNYnNIFOcjZAah9iUGuxwZioTcgT64busqvgUetDMpTOswsvCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:45.631011Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.06005","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c487fa5f31340d7a2b2d9f2ae1f6022a84ca9f7e20a62944492216c2b564895","sha256:2f791b6f62cd2a4c35f3617e38902490ee55e1a2374b25a9df43a8269011e45c"],"state_sha256":"cd0950e24ea7ef88d21c202d9a2adf6daafabd21a15aa1c73a79a4ed13d69ebc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d4p7ZSbvVp4v0aFzJg/Smjh661OAzPW2Z/g7SbLNApmTrelDLM/kvCw2n0i5gWbJBDWSq//TRZssgNkt+TX7CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T05:01:39.504643Z","bundle_sha256":"868b35083451cbabd18f08008cbf12cecd892730e89a3f0643e7866b89a66247"}}