{"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/unifying-registration-based-tracking-a-case","title":"Unifying Registration based Tracking: A Case Study with Structural Similarity","arxiv_id":"1607.04673","date":"2016-07-15","proceeding":null,"authors":["Abhineet Singh","Mennatullah Siam","Martin Jagersand"],"abstract":"This paper adapts a popular image quality measure called structural\nsimilarity for high precision registration based tracking while also\nintroducing a simpler and faster variant of the same. Further, these are\nevaluated comprehensively against existing measures using a unified approach to\nstudy registration based trackers that decomposes them into three constituent\nsub modules - appearance model, state space model and search method. Several\npopular trackers in literature are broken down using this method so that their\ncontributions - as of this paper - are shown to be limited to only one or two\nof these submodules. An open source tracking framework is made available that\nfollows this decomposition closely through extensive use of generic\nprogramming. It is used to perform all experiments on four publicly available\ndatasets so the results are easily reproducible. This framework provides a\nconvenient interface to plug in a new method for any sub module and combine it\nwith existing methods for the other two. It can also serve as a fast and\nflexible solution for practical tracking needs due to its highly efficient\nimplementation.","url_abs":"http://arxiv.org/abs/1607.04673v4","url_pdf":"http://arxiv.org/pdf/1607.04673v4.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":"unifying-registration-based-tracking-a-case","repo_url":"https://github.com/abhineet123/MTF","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}