{"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/real-time-marker-less-multi-person-3d-pose","title":"Real-time marker-less multi-person 3D pose estimation in RGB-Depth camera networks","arxiv_id":"1710.06235","date":"2017-10-17","proceeding":null,"authors":["Marco Carraro","Matteo Munaro","Jeff Burke","Emanuele Menegatti"],"abstract":"This paper proposes a novel system to estimate and track the 3D poses of\nmultiple persons in calibrated RGB-Depth camera networks. The multi-view 3D\npose of each person is computed by a central node which receives the\nsingle-view outcomes from each camera of the network. Each single-view outcome\nis computed by using a CNN for 2D pose estimation and extending the resulting\nskeletons to 3D by means of the sensor depth. The proposed system is\nmarker-less, multi-person, independent of background and does not make any\nassumption on people appearance and initial pose. The system provides real-time\noutcomes, thus being perfectly suited for applications requiring user\ninteraction. Experimental results show the effectiveness of this work with\nrespect to a baseline multi-view approach in different scenarios. To foster\nresearch and applications based on this work, we released the source code in\nOpenPTrack, an open source project for RGB-D people tracking.","url_abs":"http://arxiv.org/abs/1710.06235v1","url_pdf":"http://arxiv.org/pdf/1710.06235v1.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":"real-time-marker-less-multi-person-3d-pose","repo_url":"https://github.com/marketto89/open_ptrack","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"2d-pose-estimation","task_name":"2D Pose Estimation"},{"task_slug":"3d-pose-estimation","task_name":"3D Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[],"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}