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Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning

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4 Author(s)
Junwei Han ; Sch. of Comput., Dublin City Univ. ; Award, G.M. ; Sutherland, A. ; Hai Wu

Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the skin segmentation problem for gesture recognition. Initially, given a gesture video sequence, a generic skin model is applied to the first couple of frames to automatically collect the training data. Then, an SVM classifier based on active learning is used to identify the skin pixels. Finally, the results are improved by incorporating region segmentation. The proposed algorithm is fully automatic and adaptive to different signers. We have tested our approach on the ECHO database. Comparing with other existing algorithms, our method could achieve better performance

Published in:

Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on

Date of Conference:

2-6 April 2006