{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:T54AL4WFUDRZPZR45SHW35E2OH","short_pith_number":"pith:T54AL4WF","schema_version":"1.0","canonical_sha256":"9f7805f2c5a0e397e63cec8f6df49a71d254ff0f54b412d4ab33c04fbc21a617","source":{"kind":"arxiv","id":"1709.10494","version":7},"attestation_state":"computed","paper":{"title":"Discovery and recognition of motion primitives in human activities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.RO","authors_text":"Fiora Pirri, Marta Sanzari, Valsamis Ntouskos","submitted_at":"2017-09-29T16:59:06Z","abstract_excerpt":"We present a novel framework for the automatic discovery and recognition of motion primitives in videos of human activities. Given the 3D pose of a human in a video, human motion primitives are discovered by optimizing the `motion flux', a quantity which captures the motion variation of a group of skeletal joints. A normalization of the primitives is proposed in order to make them invariant with respect to a subject anatomical variations and data sampling rate. The discovered primitives are unknown and unlabeled and are unsupervisedly collected into classes via a hierarchical non-parametric Ba"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1709.10494","kind":"arxiv","version":7},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2017-09-29T16:59:06Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"439172707844f0cc1c855e344e406e0c38adc9e927d32d5ee2a34c9df4d0b94e","abstract_canon_sha256":"f81bc8ebabbea677a9a551157887452a0b7539eac556c16310b5f3f63c237bf5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:56.595646Z","signature_b64":"CTJrSxi+9e1ee4cswSa4PqAErTmaGK8h6keCsKdY1e6n8Wj/lw8J+eJN389JlAwYkOlcatCTtUE7wCFCv0RvDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f7805f2c5a0e397e63cec8f6df49a71d254ff0f54b412d4ab33c04fbc21a617","last_reissued_at":"2026-05-17T23:54:56.595183Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:56.595183Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Discovery and recognition of motion primitives in human activities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.RO","authors_text":"Fiora Pirri, Marta Sanzari, Valsamis Ntouskos","submitted_at":"2017-09-29T16:59:06Z","abstract_excerpt":"We present a novel framework for the automatic discovery and recognition of motion primitives in videos of human activities. Given the 3D pose of a human in a video, human motion primitives are discovered by optimizing the `motion flux', a quantity which captures the motion variation of a group of skeletal joints. A normalization of the primitives is proposed in order to make them invariant with respect to a subject anatomical variations and data sampling rate. The discovered primitives are unknown and unlabeled and are unsupervisedly collected into classes via a hierarchical non-parametric Ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.10494","kind":"arxiv","version":7},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1709.10494","created_at":"2026-05-17T23:54:56.595254+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.10494v7","created_at":"2026-05-17T23:54:56.595254+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.10494","created_at":"2026-05-17T23:54:56.595254+00:00"},{"alias_kind":"pith_short_12","alias_value":"T54AL4WFUDRZ","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"T54AL4WFUDRZPZR4","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"T54AL4WF","created_at":"2026-05-18T12:31:43.269735+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH","json":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH.json","graph_json":"https://pith.science/api/pith-number/T54AL4WFUDRZPZR45SHW35E2OH/graph.json","events_json":"https://pith.science/api/pith-number/T54AL4WFUDRZPZR45SHW35E2OH/events.json","paper":"https://pith.science/paper/T54AL4WF"},"agent_actions":{"view_html":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH","download_json":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH.json","view_paper":"https://pith.science/paper/T54AL4WF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.10494&json=true","fetch_graph":"https://pith.science/api/pith-number/T54AL4WFUDRZPZR45SHW35E2OH/graph.json","fetch_events":"https://pith.science/api/pith-number/T54AL4WFUDRZPZR45SHW35E2OH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH/action/storage_attestation","attest_author":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH/action/author_attestation","sign_citation":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH/action/citation_signature","submit_replication":"https://pith.science/pith/T54AL4WFUDRZPZR45SHW35E2OH/action/replication_record"}},"created_at":"2026-05-17T23:54:56.595254+00:00","updated_at":"2026-05-17T23:54:56.595254+00:00"}