Real-Time Face Tracking and Recognition in Video Sequence

作     者：徐一华 贾云得 刘万春 杨聪 XU Yi-Hua;JIA Yun-de;LIU Wan-chun;YANG Cong

作者机构：北京理工大学计算机科学与工程系北京100081 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2002年第11卷第2期

页      面：203-207页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：SponsoredbyNationalNaturalScienceFoundation (K60 0 75 0 0 5 ) 

主　　题：face tracking pattern recognition skin color based eigenface/PCA artificial neural network 

摘      要：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.