{"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/rotation-adaptive-visual-object-tracking-with","title":"Rotation Adaptive Visual Object Tracking with Motion Consistency","arxiv_id":"1709.06057","date":"2017-09-18","proceeding":null,"authors":["Litu Rout","Sidhartha","Gorthi R. K. S. S. Manyam","Deepak Mishra"],"abstract":"Visual Object tracking research has undergone significant improvement in the\npast few years. The emergence of tracking by detection approach in tracking\nparadigm has been quite successful in many ways. Recently, deep convolutional\nneural networks have been extensively used in most successful trackers. Yet,\nthe standard approach has been based on correlation or feature selection with\nminimal consideration given to motion consistency. Thus, there is still a need\nto capture various physical constraints through motion consistency which will\nimprove accuracy, robustness and more importantly rotation adaptiveness.\nTherefore, one of the major aspects of this paper is to investigate the outcome\nof rotation adaptiveness in visual object tracking. Among other key\ncontributions, the paper also includes various consistencies that turn out to\nbe extremely effective in numerous challenging sequences than the current\nstate-of-the-art.","url_abs":"http://arxiv.org/abs/1709.06057v2","url_pdf":"http://arxiv.org/pdf/1709.06057v2.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":"rotation-adaptive-visual-object-tracking-with","repo_url":"https://github.com/LituRout/SiameseFC-DSR","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"},{"task_slug":"object-tracking","task_name":"Object Tracking"},{"task_slug":"visual-object-tracking","task_name":"Visual Object Tracking"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}