{"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/space-time-representation-of-people-based-on","title":"Space-Time Representation of People Based on 3D Skeletal Data: A Review","arxiv_id":"1601.01006","date":"2016-01-05","proceeding":null,"authors":["Fei Han","Brian Reily","William Hoff","Hao Zhang"],"abstract":"Spatiotemporal human representation based on 3D visual perception data is a\nrapidly growing research area. Based on the information sources, these\nrepresentations can be broadly categorized into two groups based on RGB-D\ninformation or 3D skeleton data. Recently, skeleton-based human representations\nhave been intensively studied and kept attracting an increasing attention, due\nto their robustness to variations of viewpoint, human body scale and motion\nspeed as well as the realtime, online performance. This paper presents a\ncomprehensive survey of existing space-time representations of people based on\n3D skeletal data, and provides an informative categorization and analysis of\nthese methods from the perspectives, including information modality,\nrepresentation encoding, structure and transition, and feature engineering. We\nalso provide a brief overview of skeleton acquisition devices and construction\nmethods, enlist a number of public benchmark datasets with skeleton data, and\ndiscuss potential future research directions.","url_abs":"http://arxiv.org/abs/1601.01006v3","url_pdf":"http://arxiv.org/pdf/1601.01006v3.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":"space-time-representation-of-people-based-on","repo_url":"https://github.com/MehmetMHY/SVM-On-Skeleton-Data","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"feature-engineering","task_name":"Feature Engineering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1601.01006","atlas_url":"https://app.syntology.ai/?focus=1601.01006","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}