Towards Robust Face Recognition from Video

A novel, template-based method for face recognition is presented. The goals of the proposed method are to integrate multiple observations for improved robustness and to provide auxiliary confidence data for subsequent use in an automated video surveillance system. The proposed framework consists of a parallel system of classifiers, referred to as observers, where each observer is trained on one face region. The observer outputs are combined to yield the final recognition result. Three of the four confounding factors

• Type: Conference
• Year: 2001
• Where: AIPR
• Authors: Jeffery R. Price, Timothy F. Gee
• Keywords: AIPR 2001, Confidence Data, Confidence Measure, Confounding Factor, Pattern Recognition