Title :
Video based face recognition using multiple classifiers
Author :
Tang, Xiaoou ; Li, Zhifeng
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
The main advantage of the video based face recognition method is that more information is available in a video sequence than in a single image. In order to take advantage of the large amount of information in the video sequence, we develop a multiple classifiers fusion based video face recognition algorithm. The method preserves all the spatial-temporal information contained in a video sequence. A high recognition rate (98.6%) is achieved on the XM2VTS face video database.
Keywords :
face recognition; image classification; image sequences; visual databases; multiple classifiers; spatial-temporal information; video based face recognition; video sequence; Active appearance model; Algorithm design and analysis; Face detection; Face recognition; Image databases; Image recognition; Linear discriminant analysis; Spatial databases; Video sequences; Videoconference;
Conference_Titel :
Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on
Print_ISBN :
0-7695-2122-3
DOI :
10.1109/AFGR.2004.1301555
