Improved Information Maximization based Face and Facial Feature Detection from Real-time Video and Application in a Multi-Modal Person Identification System

  • Authors:
  • Ziyou Xiong;Yunqiang Chen;Roy Wang;Thomas S. Huang

  • Affiliations:
  • University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign

  • Venue:
  • ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
  • Year:
  • 2002

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Abstract

In this paper an improved face detection method based on our previous Information-Based Maximum Discrimination approach is presented that maximizes the discrimination between face and non-face examples in a training set without even using color or motion information. A short review of our previous method is given together with the description of the intuition behind and our recent improvement on its detection speed. A person identification system has been developed that performs multi-modal person identification in real-time video based on this newly improved face detection method together with speaker identification.