51. Segmentation of the face and hands in sign language video sequences using color and motion cues
- Author
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Habili, Nariman, Lim, Cheng Chew, and Moini, Alireza
- Subjects
Sign language -- Research ,Video recordings -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
We present a hand and face segmentation methodology using color and motion cues for the content-based representation of sign language video sequences. The methodology consists of three stages, namely skin-color segmentation, change detection, and face and hand segmentation mask generation. In skin-color segmentation, a universal color-model is derived and image pixels are classified as skin or nonskin based on their Mahalanobis distance. We derive a segmentation threshold for the classifier. The aim of change detection is to localize moving objects in a video sequences. The change detection technique is based on the F test and block-based motion estimation. Finally, the results from skin-color segmentation and change detection are analyzed to segment the face and hands. The performance of the algorithm is illustrated by simulations carried out on standard test sequences. Index Terms--Change detection, sign language, skin-color segmentation, video segmentation.
- Published
- 2004