{"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/globally-consistent-multi-people-tracking","title":"Globally Consistent Multi-People Tracking using Motion Patterns","arxiv_id":"1612.00604","date":"2016-12-02","proceeding":null,"authors":["Andrii Maksai","Xinchao Wang","Francois Fleuret","Pascal Fua"],"abstract":"Many state-of-the-art approaches to people tracking rely on detecting them in\neach frame independently, grouping detections into short but reliable\ntrajectory segments, and then further grouping them into full trajectories.\nThis grouping typically relies on imposing local smoothness constraints but\nalmost never on enforcing more global constraints on the trajectories. In this\npaper, we propose an approach to imposing global consistency by first inferring\nbehavioral patterns from the ground truth and then using them to guide the\ntracking algorithm. When used in conjunction with several state-of-the-art\nalgorithms, this further increases their already good performance. Furthermore,\nwe propose an unsupervised scheme that yields almost similar improvements\nwithout the need for ground truth.","url_abs":"http://arxiv.org/abs/1612.00604v1","url_pdf":"http://arxiv.org/pdf/1612.00604v1.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":"globally-consistent-multi-people-tracking","repo_url":"https://github.com/maksay/ptrack_cpp","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"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}