{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:5CWORBKTOMK7KC5IRNXN3LZQDL","short_pith_number":"pith:5CWORBKT","schema_version":"1.0","canonical_sha256":"e8ace885537315f50ba88b6eddaf301ae2c5d37b8202abf26329453e1564c360","source":{"kind":"arxiv","id":"1501.06180","version":1},"attestation_state":"computed","paper":{"title":"Exploring Human Vision Driven Features for Pedestrian Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Armin B. Cremers, Christian Bauckhage, Dominik A. Klein, Shanshan Zhang","submitted_at":"2015-01-25T16:52:41Z","abstract_excerpt":"Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes due to the observation that pedestrians indeed exhibit discriminative contrast texture. Our main contributions are first to design a local, statistical multi-channel descriptorin order to incorporate both color and gradient information. Second, we introduce a multi-direction and multi-scale contrast scheme based on grid-cells in order to integrate expressive local variations. Contributing to the issue of selecting mo"},"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":"1501.06180","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-01-25T16:52:41Z","cross_cats_sorted":[],"title_canon_sha256":"de515cf4510437f3321a7de69423ec8fd53f794e3a3456f349cd9c286e9428e0","abstract_canon_sha256":"0a5a66321b394f541886d419f08ee141be4af0716054a2f72e55631327b8e603"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:36.249252Z","signature_b64":"KhFPGCXucYxtDxKOMNAZ1klcyqfP1ymm8ft231ZEVE64UCRyeOp0DZLXyyrg1wCfHln/2b7mQtWdXmNlFYQ2Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8ace885537315f50ba88b6eddaf301ae2c5d37b8202abf26329453e1564c360","last_reissued_at":"2026-05-18T00:58:36.248615Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:36.248615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploring Human Vision Driven Features for Pedestrian Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Armin B. Cremers, Christian Bauckhage, Dominik A. Klein, Shanshan Zhang","submitted_at":"2015-01-25T16:52:41Z","abstract_excerpt":"Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes due to the observation that pedestrians indeed exhibit discriminative contrast texture. Our main contributions are first to design a local, statistical multi-channel descriptorin order to incorporate both color and gradient information. Second, we introduce a multi-direction and multi-scale contrast scheme based on grid-cells in order to integrate expressive local variations. Contributing to the issue of selecting mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.06180","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1501.06180","created_at":"2026-05-18T00:58:36.248708+00:00"},{"alias_kind":"arxiv_version","alias_value":"1501.06180v1","created_at":"2026-05-18T00:58:36.248708+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.06180","created_at":"2026-05-18T00:58:36.248708+00:00"},{"alias_kind":"pith_short_12","alias_value":"5CWORBKTOMK7","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_16","alias_value":"5CWORBKTOMK7KC5I","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_8","alias_value":"5CWORBKT","created_at":"2026-05-18T12:29:05.191682+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/5CWORBKTOMK7KC5IRNXN3LZQDL","json":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL.json","graph_json":"https://pith.science/api/pith-number/5CWORBKTOMK7KC5IRNXN3LZQDL/graph.json","events_json":"https://pith.science/api/pith-number/5CWORBKTOMK7KC5IRNXN3LZQDL/events.json","paper":"https://pith.science/paper/5CWORBKT"},"agent_actions":{"view_html":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL","download_json":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL.json","view_paper":"https://pith.science/paper/5CWORBKT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1501.06180&json=true","fetch_graph":"https://pith.science/api/pith-number/5CWORBKTOMK7KC5IRNXN3LZQDL/graph.json","fetch_events":"https://pith.science/api/pith-number/5CWORBKTOMK7KC5IRNXN3LZQDL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL/action/storage_attestation","attest_author":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL/action/author_attestation","sign_citation":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL/action/citation_signature","submit_replication":"https://pith.science/pith/5CWORBKTOMK7KC5IRNXN3LZQDL/action/replication_record"}},"created_at":"2026-05-18T00:58:36.248708+00:00","updated_at":"2026-05-18T00:58:36.248708+00:00"}