Improvement of face detection algorithms for news videos

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Improvement of face detection algorithms for news videos [Haber videolari için yüz bulma yöntemlerinin iyileştirilmesi].pdf (877.92 KB)

Date

2005

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Source Title

Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, 2005.

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Publisher

IEEE

Volume

2005

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308 - 311

Language

Turkish

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Conference Paper

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Abstract

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.

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Keywords

Face detection algorithms , News videos , Schneiderman-Kanade face detection , Algorithms , Data reduction , Image analysis , Spurious signal noise , Video signal processing , Face recognition

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http://hdl.handle.net/11693/27368

Published Version (Please cite this version)

http://dx.doi.org/10.1109/SIU.2005.1567682

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Scholarly Publications - Computer Engineering