Video-based face recognition: state of the art

  • Authors:
  • Zhaoxiang Zhang;Chao Wang;Yunhong Wang

  • Affiliations:
  • Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China;Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China;Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China

  • Venue:
  • CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
  • Year:
  • 2011

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Abstract

Face recognition in videos is a hot topic in computer vision and biometrics over many years. Compared to traditional face analysis, video based face recognition has advantages of more abundant information to improve accuracy and robustness, but also suffers from large scale variations, low quality of facial images, illumination changes, pose variations and occlusions. Related to applications, we divide the existing video based face recognition approaches into two categories: videoimage based methods and video-video based methods, which are surveyed and analyzed in this paper.