Improving the Robustness of Lips Sensing with Evolutionary Video Processing
Takuya Akashi, Yuji Wakasa, Kanya Tanaka, Minoru Fukumi · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2008
In this paper, an effective method is proposed for robust lips sensing. Our objectives are high-speed lips tr acking and data acquisition of a talking person in natural scenes. Our approach is based on the Evolutionary Video Processing. This method has a trade-off between accuracy and a processing time. To solve this problem, we proposed automatic Search Domain Control method and implement this method in the Evolutionary Video Processing. The tracking accuracy is improved from 66.3% to 84.9%. The proposed method can recover from occlusion and tracking loss. Comparative experiments are presented to demonstrate the effectiveness and robustness of the proposed method.