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Published Articles >> Table of Contents >> Abstract
International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1
p. 620
Recognizing Non-rigid Human Actions Using Joints Tracking in Space-time
Xin Lu, University of Tokushima, Japan
Qiong Liu, University of Tokushima, Japan
Shunichiro Oe, University of Tokushima, Japan
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2004.1286534
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| Abstract |
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This paper presents a new method to recognize and restructure
the human motions in space-time using the tracking
information of human joints. A specific posture can
be recognized in actual frame by finding the correspondence
between actual frame and key frame. Within key
frame prototype information has been extracted to represent
defined posture (one step of action). By recognizing
some person's postures in order, it is possible to map
body locations from the key frames to actual frames in long
video sequence and confirm the posture-sequence (action).
The proposed method is tolerant to substantial deformation
between image and prototype and recognizes qualitatively
similar joints moving traces that compose human action.
The proposed method is achieved by using a LKT feature
tracker approach to track joints in key frames and actual
frames. Then, the factorized sampling method is applied to
replace one tracker with tracker-set to enhance the joints
tracking accuracy. The experiments results demonstrate
that accuracy and efficiency of recognizing non-rigid human
actions.
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 Additional Information
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Citation:
Xin Lu, Qiong Liu, Shunichiro Oe,
"Recognizing Non-rigid Human Actions Using Joints Tracking in Space-time,"
itcc,
p. 620,
International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 1,
2004
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