{"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-neural-network-approach-to-missing-marker","title":"A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture","arxiv_id":"1803.02665","date":"2018-03-07","proceeding":null,"authors":["Taras Kucherenko","Jonas Beskow","Hedvig Kjellström"],"abstract":"Optical motion capture systems have become a widely used technology in\nvarious fields, such as augmented reality, robotics, movie production, etc.\nSuch systems use a large number of cameras to triangulate the position of\noptical markers.The marker positions are estimated with high accuracy. However,\nespecially when tracking articulated bodies, a fraction of the markers in each\ntimestep is missing from the reconstruction. In this paper, we propose to use a\nneural network approach to learn how human motion is temporally and spatially\ncorrelated, and reconstruct missing markers positions through this model. We\nexperiment with two different models, one LSTM-based and one time-window-based.\nBoth methods produce state-of-the-art results, while working online, as opposed\nto most of the alternative methods, which require the complete sequence to be\nknown. The implementation is publicly available at\nhttps://github.com/Svito-zar/NN-for-Missing-Marker-Reconstruction .","url_abs":"http://arxiv.org/abs/1803.02665v4","url_pdf":"http://arxiv.org/pdf/1803.02665v4.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-neural-network-approach-to-missing-marker","repo_url":"https://github.com/Svito-zar/NN-for-Missing-Marker-Reconstruction","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"3d-reconstruction","task_name":"3D Reconstruction"},{"task_slug":null,"task_name":"Missing Markers Reconstruction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1803.02665","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}