{"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/comprehensive-data-set-for-automatic-single","title":"Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement","arxiv_id":"1702.06441","date":"2017-02-21","proceeding":null,"authors":["Jakub Sochor","Roman Juránek","Jakub Špaňhel","Lukáš Maršík","Adam Široký","Adam Herout","Pavel Zemčík"],"abstract":"In this paper, we focus on traffic camera calibration and a visual speed\nmeasurement from a single monocular camera, which is an important task of\nvisual traffic surveillance. Existing methods addressing this problem are\ndifficult to compare due to a lack of a common data set with reliable ground\ntruth. Therefore, it is not clear how the methods compare in various aspects\nand what factors are affecting their performance. We captured a new data set of\n18 full-HD videos, each around 1 hr long, captured at six different locations.\nVehicles in the videos (20865 instances in total) are annotated with the\nprecise speed measurements from optical gates using LiDAR and verified with\nseveral reference GPS tracks. We made the data set available for download and\nit contains the videos and metadata (calibration, lengths of features in image,\nannotations, and so on) for future comparison and evaluation. Camera\ncalibration is the most crucial part of the speed measurement; therefore, we\nprovide a brief overview of the methods and analyze a recently published method\nfor fully automatic camera calibration and vehicle speed measurement and report\nthe results on this data set in detail.","url_abs":"http://arxiv.org/abs/1702.06441v2","url_pdf":"http://arxiv.org/pdf/1702.06441v2.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":"comprehensive-data-set-for-automatic-single","repo_url":"https://github.com/JakubSochor/BrnoCompSpeed","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"camera-calibration","task_name":"Camera Calibration"}],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}