{"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/robust-face-tracking-using-multiple","title":"Robust Face Tracking using Multiple Appearance Models and Graph Relational Learning","arxiv_id":"1706.09806","date":"2017-06-29","proceeding":null,"authors":["Tanushri Chakravorty","Guillaume-Alexandre Bilodeau","Eric Granger"],"abstract":"This paper addresses the problem of appearance matching across different\nchallenges while doing visual face tracking in real-world scenarios. In this\npaper, FaceTrack is proposed that utilizes multiple appearance models with its\nlong-term and short-term appearance memory for efficient face tracking. It\ndemonstrates robustness to deformation, in-plane and out-of-plane rotation,\nscale, distractors and background clutter. It capitalizes on the advantages of\nthe tracking-by-detection, by using a face detector that tackles drastic scale\nappearance change of a face. The detector also helps to reinitialize FaceTrack\nduring drift. A weighted score-level fusion strategy is proposed to obtain the\nface tracking output having the highest fusion score by generating candidates\naround possible face locations. The tracker showcases impressive performance\nwhen initiated automatically by outperforming many state-of-the-art trackers,\nexcept Struck by a very minute margin: 0.001 in precision and 0.017 in success\nrespectively.","url_abs":"http://arxiv.org/abs/1706.09806v2","url_pdf":"http://arxiv.org/pdf/1706.09806v2.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":"robust-face-tracking-using-multiple","repo_url":"https://github.com/sinbycos/FaceTrack","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"relational-reasoning","task_name":"Relational Reasoning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}