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Fourth IEEE International Conference on Multimodal Interfaces (ICMI'02)
Improved Information Maximization based Face and Facial Feature Detection from Real-time Video and Application in a Multi-Modal Person Identification System
Pittsburgh, Pennsylvania
October 14-October 16
ISBN: 0-7695-1834-6
Ziyou Xiong, University of Illinois at Urbana-Champaign
Yunqiang Chen, University of Illinois at Urbana-Champaign
Roy Wang, University of Illinois at Urbana-Champaign
Thomas S. Huang, University of Illinois at Urbana-Champaign
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.
Index Terms:
face detection, person identification, real-time
Citation:
Ziyou Xiong, Yunqiang Chen, Roy Wang, Thomas S. Huang, "Improved Information Maximization based Face and Facial Feature Detection from Real-time Video and Application in a Multi-Modal Person Identification System," icmi, pp.511, Fourth IEEE International Conference on Multimodal Interfaces (ICMI'02), 2002
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