{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/person-search-in-videos-with-one-portrait","title":"Person Search in Videos with One Portrait Through Visual and Temporal Links","arxiv_id":"1807.10510","date":"2018-07-27","proceeding":"ECCV 2018 9","authors":["Qingqiu Huang","Wentao Liu","Dahua Lin"],"abstract":"In real-world applications, e.g. law enforcement and video retrieval, one\noften needs to search a certain person in long videos with just one portrait.\nThis is much more challenging than the conventional settings for person\nre-identification, as the search may need to be carried out in the environments\ndifferent from where the portrait was taken. In this paper, we aim to tackle\nthis challenge and propose a novel framework, which takes into account the\nidentity invariance along a tracklet, thus allowing person identities to be\npropagated via both the visual and the temporal links. We also develop a novel\nscheme called Progressive Propagation via Competitive Consensus, which\nsignificantly improves the reliability of the propagation process. To promote\nthe study of person search, we construct a large-scale benchmark, which\ncontains 127K manually annotated tracklets from 192 movies. Experiments show\nthat our approach remarkably outperforms mainstream person re-id methods,\nraising the mAP from 42.16% to 62.27%.","url_abs":"http://arxiv.org/abs/1807.10510v1","url_pdf":"http://arxiv.org/pdf/1807.10510v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"person-search-in-videos-with-one-portrait","repo_url":"https://github.com/hqqasw/person-search-PPCC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"person-search-in-videos-with-one-portrait","repo_url":"https://github.com/ycxioooong/MovieSynopsisAssociation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"person-re-identification","task_name":"Person Re-Identification"},{"task_slug":"person-search","task_name":"Person Search"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"video-retrieval","task_name":"Video Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1807.10510","atlas_url":"https://app.syntology.ai/?focus=1807.10510","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}