Fully automatic face recognition system using a combined audio-visual approach
Author
A Albiol, L Torres, EJ Delp
Abstract
This paper presents a novel audio and video information fusion approach that greatly improves automatic recognition of people in video sequences. To that end, audio and video information is first used independently to obtain confidence values that indicate the likelihood that a specific person appears in a video shot. Finally, a post-classifier is applied to fuse audio and visual confidence values. The system has been tested on several news sequences and the results indicate that a significant improvement in the recognition rate can be achieved when both modalities are used together.
Journal
Vision, Image and Signal Processing, IEE Proceedings
Publication Date
2005-06-01
Keywords
lassification, face recognition, speaker recognition audio-video information fusion, combined audio-visual method, fully automatic face recognition system, news sequences, post-classifier, recognition likelihood confidence values, recognition rate, video sequences