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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||