Improvement of face detection algorithms for news videos
Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005.
308 - 311
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People are the most important subjects in news videos and for proper retrieval of person images, face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due to the huge irregularities and high noise level in the data. This study presents a method that combines skin detection and Schneiderman-Kanade face detection, for improving the face detection performance in news videos for a better retrieval. This method has been tested on TRECVID 2003 dataset and the results are very promising. © 2005 IEEE.
KeywordsFace detection algorithms
Schneiderman-Kanade face detection
Spurious signal noise
Video signal processing