Body and Head Orientation Estimation From Low-Resolution Point Clouds in Surveillance Settings

We propose a system that estimates people’s body and head orientations using low-resolution point cloud data from two LiDAR sensors. Our models make accurate estimations in real-world conversation settings where subjects move naturally with varying head and body poses, while seated around...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Onur N. Tepencelik, Wenchuan Wei, Pamela C. Cosman, Sujit Dey
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Autism spectrum disorder body orientation head orientation LiDAR sensor point cloud triadic conversation
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10697132/