Video Based Face Recognition Using Multiple Classifiers

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 spatialtemporal information contained in a video sequence. A high recognition rate (98.6%) is achieved on the XM2VTS face video database.

• Type: Conference
• Year: 2004
• Where: FGR
• Authors: Xiaoou Tang, Zhifeng Li
• Keywords: Biometrics, Face Recognition, FGR 2004, Video Based Face, Video Sequence