Directionally-grouped CHLAC motion feature extraction and its application to sport motion analysis

Authors:
Fumito Yoshikawa;Takumi Kobayashi;Kenji Watanabe;Nobuyuki Otsu
Affiliations:
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan;National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan;National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan;National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Venue:
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
Year:
2011

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Abstract

In this paper, we propose a method for extracting motion direction of objects by directionally-grouped cubic higher-order local auto-correlation (DG-CHLAC) motion features. The DG-CHLAC motion features are obtained by classifying CHLAC feature components into predefined direction groups. By identifying the dominant feature component in DG-CHLAC with respect to magnitude, direction of motions can be simply detected. The experimental results on different motions in sport confirmed the effectiveness of the method.