Title :
Improved information maximization based face and facial feature detection from real-time video and application in a multi-modal person identification system
Author :
Xiong, Ziyou ; Chen, Yunqiang ; Wang, Roy ; Huang, Thomas S.
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
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 using color or motion information. A short review of our previous method is given together with a description of a recent improvement of 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.
Keywords :
face recognition; feature extraction; optimisation; real-time systems; speaker recognition; video signal processing; face/nonface example discrimination; information maximization based face detection; information maximization based facial feature detection; information-based maximum discrimination approach; multi-modal person identification system; real-time video; speaker identification; training set; Face detection; Facial features; Knowledge based systems; Maximum likelihood detection; Motion detection; Neural networks; Pattern recognition; Probability distribution; Real time systems; System testing;
Conference_Titel :
Multimodal Interfaces, 2002. Proceedings. Fourth IEEE International Conference on
Print_ISBN :
0-7695-1834-6
DOI :
10.1109/ICMI.2002.1167048
