【摘要】 集成了基于肤色的人脸跟踪和基于PCA/BPNN(主成分分析 /前馈神经网络 )的人脸识别技术 ,提出了一种人脸实时跟踪与识别方法 .该方法可以实现复杂背景下的人脸跟踪 ,并可处理人脸遮挡问题 .通过平均视频序列中的多幅人脸图像 ,获得了很高的正确识别率 .该方法在 80 0MHz主频的微机上实现 ,系统处理速度达 2 0帧 /s.更多还原

【Abstract】 A framework of real time face tracking and recognition is presented, which integrates skin color based tracking and PCA/BPNN (principle component analysis/back propagation neural network) hybrid recognition techniques. The algorithm is able to track the human face against a complex background and also works well when temporary occlusion occurs. We also obtain a very high recognition rate by averaging a number of samples over a long image sequence. The proposed approach has been successfully tested by many experiments, and can operate at 20 frames/s on an 800 MHz PC.更多还原