{"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/a-comprehensive-performance-evaluation-of","title":"A Comprehensive Performance Evaluation of Deformable Face Tracking \"In-the-Wild\"","arxiv_id":"1603.06015","date":"2016-03-18","proceeding":null,"authors":["Grigorios G. Chrysos","Epameinondas Antonakos","Patrick Snape","Akshay Asthana","Stefanos Zafeiriou"],"abstract":"Recently, technologies such as face detection, facial landmark localisation\nand face recognition and verification have matured enough to provide effective\nand efficient solutions for imagery captured under arbitrary conditions\n(referred to as \"in-the-wild\"). This is partially attributed to the fact that\ncomprehensive \"in-the-wild\" benchmarks have been developed for face detection,\nlandmark localisation and recognition/verification. A very important technology\nthat has not been thoroughly evaluated yet is deformable face tracking\n\"in-the-wild\". Until now, the performance has mainly been assessed\nqualitatively by visually assessing the result of a deformable face tracking\ntechnology on short videos. In this paper, we perform the first, to the best of\nour knowledge, thorough evaluation of state-of-the-art deformable face tracking\npipelines using the recently introduced 300VW benchmark. We evaluate many\ndifferent architectures focusing mainly on the task of on-line deformable face\ntracking. In particular, we compare the following general strategies: (a)\ngeneric face detection plus generic facial landmark localisation, (b) generic\nmodel free tracking plus generic facial landmark localisation, as well as (c)\nhybrid approaches using state-of-the-art face detection, model free tracking\nand facial landmark localisation technologies. Our evaluation reveals future\navenues for further research on the topic.","url_abs":"http://arxiv.org/abs/1603.06015v2","url_pdf":"http://arxiv.org/pdf/1603.06015v2.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":"a-comprehensive-performance-evaluation-of","repo_url":"https://github.com/grigorisg9gr/deformable_tracking_review_ijcv2016","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"face-alignment","task_name":"Face Alignment"},{"task_slug":"face-detection","task_name":"Face Detection"},{"task_slug":"face-recognition","task_name":"Face Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}