A Real-time Face/Hand Tracking Method for Chinese Sign Language Recognition |
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| Authors: | Yuan Kui Zou Wei Luo Bencheng |
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| Institution: | Laboratory of Complex System and Artificial Intelligence, Institute of Automation,Chinese Academy of Sciences, Beijing 100080, P.R.China |
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| Abstract: | This paper introduces a new Chinese Sign Language recognition (CSLR) system and a method of real-time tracking face and hand applied in the system. In the method, an improved agent algorithm is used to extract the region of face and hand and track them. Kalman filter is introduced to forecast the position and rectangle of search, and self-adapting of target color is designed to counteract the effect of illumination. |
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| Keywords: | CSLR improved agent real-time tracking Kalman filter |
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