Hand gesture video browsing for broadband-enabled HDTVs
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Hand detection and feature extraction for static Thai Sign Language recognition
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
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Thesignlanguagerecognitionisthemostpopularresearch areainvolving computer vision, pattern recognition and image processing. It enhances communication capabilities of the mute person. In this paper, we present an objectbasedkeyframe selection. Hausdorff distance and Euclideandistance are used for shape similarity for hand gesture recognition. We proposed the use of nonlinear time alignment model with key frame selection facility and gesture trajectory features for hand gesture recognition. Experimentalresults demonstrate the effectiveness of our proposed scheme for recognizing American Sign Language.