期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2014
卷号：3
期号：4
页码：156-161
出版社：IJCSN publisher
摘要：This paper suggests method to improve hand gesture recognition rate in limited environment. The system consists of two main stages which are Hand detection and tracking. In Hand detection, hand region is first detected by combining motion and skin color pixels. A region of interest (ROI) is then created in the detected hand region. In tracking stage, skin and motion pixels are scanned around top, left and right corners of the ROI to detect the moving hand in consecutive video frames. These pixels are used to actually measure the ROI position and fed into measurement update of Adaptive Kalman Filter (AKF) operation. The experimental result shows the proposed method has the robust ability to track the moving hand under real life scenarios with average 96.66% result
关键词：Hand detection;Hand tracking;Hand gesture;Adaptive Kalman Filter;Region of Interest
