{"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/mario-modular-and-extensible-architecture-for","title":"MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL","arxiv_id":"2209.09987","date":"2022-09-20","proceeding":null,"authors":["Domenico D. Bloisi","Andrea Pennisi","Cristian Zampino","Flavio Biancospino","Francesco Laus","Gianluca Di Stefano","Michele Brienza","Rocchina Romano"],"abstract":"This technical report describes a modular and extensible architecture for computing visual statistics in RoboCup SPL (MARIO), presented during the SPL Open Research Challenge at RoboCup 2022, held in Bangkok (Thailand). MARIO is an open-source, ready-to-use software application whose final goal is to contribute to the growth of the RoboCup SPL community. MARIO comes with a GUI that integrates multiple machine learning and computer vision based functions, including automatic camera calibration, background subtraction, homography computation, player + ball tracking and localization, NAO robot pose estimation and fall detection. MARIO has been ranked no. 1 in the Open Research Challenge.","url_abs":"https://arxiv.org/abs/2209.09987v1","url_pdf":"https://arxiv.org/pdf/2209.09987v1.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":"mario-modular-and-extensible-architecture-for","repo_url":"https://github.com/unibas-wolves/mario","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"camera-calibration","task_name":"Camera Calibration"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"robot-pose-estimation","task_name":"Robot Pose Estimation"}],"methods":[{"method_slug":"sps","method_name":"SPL"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}