Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language

Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language

This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are extracted through forward, backward, and bidirectional predictions. The predict...

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Bibliographic Details
Main Author: Shanableh, Tamer (author)
Other Authors: Assaleh, Khaled (author), Al-Rousan, Mohammad (author)
Format: article
Published: 2007
Subjects:
Feature extraction
Motion analysis
Pattern classification
Visual languages
Online Access:http://hdl.handle.net/11073/21363
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http://hdl.handle.net/11073/21363

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