{"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-human-motion-capture-with-multiple","title":"Real-Time Human Motion Capture with Multiple Depth Cameras","arxiv_id":"1605.08068","date":"2016-05-25","proceeding":null,"authors":["Alireza Shafaei","James J. Little"],"abstract":"Commonly used human motion capture systems require intrusive attachment of\nmarkers that are visually tracked with multiple cameras. In this work we\npresent an efficient and inexpensive solution to markerless motion capture\nusing only a few Kinect sensors. Unlike the previous work on 3d pose estimation\nusing a single depth camera, we relax constraints on the camera location and do\nnot assume a co-operative user. We apply recent image segmentation techniques\nto depth images and use curriculum learning to train our system on purely\nsynthetic data. Our method accurately localizes body parts without requiring an\nexplicit shape model. The body joint locations are then recovered by combining\nevidence from multiple views in real-time. We also introduce a dataset of ~6\nmillion synthetic depth frames for pose estimation from multiple cameras and\nexceed state-of-the-art results on the Berkeley MHAD dataset.","url_abs":"http://arxiv.org/abs/1605.08068v1","url_pdf":"http://arxiv.org/pdf/1605.08068v1.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":[],"tasks":[{"task_slug":"3d-pose-estimation","task_name":"3D Pose Estimation"},{"task_slug":"image-segmentation","task_name":"Image Segmentation"},{"task_slug":"markerless-motion-capture","task_name":"Markerless Motion Capture"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[{"slug":"ubc3v-dataset","name":"UBC3V Dataset","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}