{"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/generalized-optimal-sub-pattern-assignment","title":"Generalized optimal sub-pattern assignment metric","arxiv_id":"1601.05585","date":"2016-01-21","proceeding":null,"authors":["Abu Sajana Rahmathullah","Ángel F. García-Fernández","Lennart Svensson"],"abstract":"This paper presents the generalized optimal sub-pattern assignment (GOSPA)\nmetric on the space of finite sets of targets. Compared to the well-established\noptimal sub-pattern assignment (OSPA) metric, GOSPA is unnormalized as a\nfunction of the cardinality and it penalizes cardinality errors differently,\nwhich enables us to express it as an optimisation over assignments instead of\npermutations. An important consequence of this is that GOSPA allows us to\npenalize localization errors for detected targets and the errors due to missed\nand false targets, as indicated by traditional multiple target tracking (MTT)\nperformance measures, in a sound manner. In addition, we extend the GOSPA\nmetric to the space of random finite sets, which is important to evaluate MTT\nalgorithms via simulations in a rigorous way.","url_abs":"http://arxiv.org/abs/1601.05585v7","url_pdf":"http://arxiv.org/pdf/1601.05585v7.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":"generalized-optimal-sub-pattern-assignment","repo_url":"https://github.com/abusajana/GOSPA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"generalized-optimal-sub-pattern-assignment","repo_url":"https://github.com/agarciafernandez/t-gospa-metric-python","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"generalized-optimal-sub-pattern-assignment","repo_url":"https://github.com/ewilthil/gospapy","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}