{"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/a-two-point-method-for-ptz-camera-calibration","title":"A Two-point Method for PTZ Camera Calibration in Sports","arxiv_id":"1801.09005","date":"2018-01-26","proceeding":null,"authors":["Jianhui Chen","Fangrui Zhu","James J. Little"],"abstract":"Calibrating narrow field of view soccer cameras is challenging because there\nare very few field markings in the image. Unlike previous solutions, we propose\na two-point method, which requires only two point correspondences given the\nprior knowledge of base location and orientation of a pan-tilt-zoom (PTZ)\ncamera. We deploy this new calibration method to annotate pan-tilt-zoom data\nfrom soccer videos. The collected data are used as references for new images.\nWe also propose a fast random forest method to predict pan-tilt angles without\nimage-to-image feature matching, leading to an efficient calibration method for\nnew images. We demonstrate our system on synthetic data and two real soccer\ndatasets. Our two-point approach achieves superior performance over the\nstate-of-the-art method.","url_abs":"http://arxiv.org/abs/1801.09005v1","url_pdf":"http://arxiv.org/pdf/1801.09005v1.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":"a-two-point-method-for-ptz-camera-calibration","repo_url":"https://github.com/lood339/two_point_calib","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"camera-calibration","task_name":"Camera Calibration"},{"task_slug":"two","task_name":"Vocal Bursts Valence Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1801.09005","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}