{"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/humans-in-kitchens-a-dataset-for-multi-person","title":"Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context","arxiv_id":null,"date":"2023-09-26","proceeding":"NeurIPS 2023 11","authors":[],"abstract":"Forecasting human motion of multiple persons is very challenging. It requires to model the interactions between humans and the interactions with objects and the environment. For example, a person might want to make a coffee, but if the coffee machine is already occupied the person will have\nto wait. These complex relations between scene geometry and persons arise\nconstantly in our daily lives, and models that wish to accurately forecast\nhuman behavior will have to take them into consideration. To facilitate research in this direction, we propose Humans in Kitchens, a\nlarge-scale multi-person human motion dataset with annotated 3D human poses, scene geometry and activities per person and frame.\nOur dataset consists of over 7.3h recorded data of up to 16 persons at the same time in four kitchen scenes, with more than 4M annotated human poses, represented by a parametric 3D body model. In addition, dynamic scene geometry and objects like chair or cupboard are annotated per frame. As first benchmarks, we propose two protocols for short-term and long-term human motion forecasting.","url_abs":"https://openreview.net/forum?id=6jOlRwnqbb","url_pdf":"https://openreview.net/pdf?id=6jOlRwnqbb","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":"humans-in-kitchens-a-dataset-for-multi-person","repo_url":"https://github.com/jutanke/hik","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"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}