Skeleton clustering by multi-robot monitoring for fall risk discovery

Author:

Deguchi Yutaka,Takayama Daisuke,Takano Shigeru,Scuturici Vasile-Marian,Petit Jean-Marc,Suzuki Einoshin

Funder

Bilateral Joint Research Project between Japan and France funded by Japan Society for the Promotion of Science

Bilateral Joint Research Project between Japan and France funded by Centre National de la Recherche Scientifique

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring;Sensors;2023-01-23

2. GIAD-ST: Detecting anomalies in human monitoring based on generative inpainting via self-supervised multi-task learning;Journal of Intelligent Information Systems;2022-06-30

3. Detecting Video Anomalous Events with an Enhanced Abnormality Score;Lecture Notes in Computer Science;2022

4. GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring;PRICAI 2021: Trends in Artificial Intelligence;2021

5. Detecting Anomalous Regions from an Image based on Deep Captioning;Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2020

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