Automatic Real-Time Face Detection and Tracking Based on Space-Temporal Mutual Feedback for Video Sequence
In spatial face detection stage, in order to eliminate the influence of luminance, a two-dimension Gaussian distribution function, based on the chrominance plane of YCbCr color space, is constructed, then the moving skin area is determined by the luminance component Y, the moving face is detected by support vector machine classifier. In face temporal tracking stage, the eigeface similarity measurement of consecutive frame is got by Bhattacharyya coefficient, which can give us the trace of human face. In order to make the tracking scheme robust, the kalman filter is used for updating face model, the mutual feedback scheme benefits both face spatial detection and temporal tracking. In order to deal with face occlusions and whether or not to update face model, we take advantage of hypothesis test. Finally, the comparison experiments between the proposed with other methods are given. Numerical simulations show the proposed algorithm can accurately detect and track human face.
Xuchao Li Xiaofang Zhou
College of Information science and Media, Jinggangshan University, Jian, 343009, P.R.China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
1650-1654
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）