Depth features to recognise dyadic interactions

Usage of depth sensors in activity recognition is an emerging technology in human–computer interaction. This study presents an approach to recognise human‐to‐human interactions by using depth information. Both hand‐crafted features and deep features extracted from depth frames are studied. After sel...

詳細記述

書誌詳細

出版年:	IET Computer Vision
主要な著者:	Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can
フォーマット:	論文
言語:	英語
出版事項:	Wiley 2018-04-01
主題:	depth feature extraction dyadic interaction recognition depth sensors activity recognition human-computer interaction human-to-human interactions
オンライン･アクセス:	https://doi.org/10.1049/iet-cvi.2017.0204