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Human action recognition with skeletal information from depth camera
Zhu H.-M.; Pun C.-M.
2013-12-01
Conference Name2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA)
Source Publication2013 IEEE International Conference on Information and Automation, ICIA 2013
Pages1082-1085
Conference DateAUG 26-28, 2013
Conference PlaceYinchuan, PEOPLES R CHINA
Abstract

We propose a human action recognition solution from the human's skeletal information. The angular representation of the skeleton shows its invariance to the scale of the actor and the orientation to the camera, while it maintains the correlation among different body parts. A modified Dynamic Time Warping (DTW) as a template matching solution is applied to do the action classification task. We collect our data with XBOX Kinect platform, a well-known Chinese traditional shadow boxing named Taiji is recognized based on types of actions which achieves the accuracy of 80%. © 2013 IEEE.

KeywordAction Recognition Angular Representation Depth Image Dtw Skeleton Tracking
DOI10.1109/ICInfA.2013.6720456
URLView the original
Language英语
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000346483800196
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Zhu H.-M.,Pun C.-M.. Human action recognition with skeletal information from depth camera[C],2013:1082-1085.
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