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2001 IEEE International Conference on Multimedia and Expo (ICME'01)
FAST SILHOUETTE-BASED HAND GESTURE FEATURE EXTRACTION ALGORITHM
Tokyo, Japan
August 22-August 25
ISBN: 0-7695-1198-8
Chao-Hui Huang, Department of Computer Science and Information Engineering, Chung Hua University
Daw-Tung Lin, Department of Computer Science and Information Engineering, Chung Hua University
We present in this paper an approach of extracting and recognizing the features of hand gesture with low computational requirement. For the sake of real-time implementation, we developed two main algorithms: Curve Detection Algorithm (CDA) and Peak Detection Algorithm (PDA), where CDA extracts the feature from the silhouette pattern of image and PDA extracts specific patterns in silhouette image which implied peak information. Support Vector Machines is then applied for recognition. The overall performance of recognition achieved 96% in average.
Citation:
Chao-Hui Huang, Daw-Tung Lin, "FAST SILHOUETTE-BASED HAND GESTURE FEATURE EXTRACTION ALGORITHM," icme, pp.311, 2001 IEEE International Conference on Multimedia and Expo (ICME'01), 2001
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