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...
Main Authors: | Ali Seydi Keçeli, Aydın Kaya, Ahmet Burak Can |
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Format: | Article |
Language: | English |
Published: |
Wiley
2018-04-01
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Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2017.0204 |
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