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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2002> 11(2): 203-207
XU Yi hua, JIA Yun de, LIU Wan chun, YANG Cong. Real-Time Face Tracking and Recognition in Video Sequence[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(2): 203-207.
Citation: XU Yi hua, JIA Yun de, LIU Wan chun, YANG Cong. Real-Time Face Tracking and Recognition in Video Sequence[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(2): 203-207.
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Real-Time Face Tracking and Recognition in Video Sequence

  • Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing100081, China

Funds:SponsoredbyNationalNaturalScienceFoundation(K60075005)
  • Received Date:2001-05-20
    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.
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