Systematic evaluation of face detection algorithms on news videos
Author
Acar, Can
Atlas, Arda
Çevik, Koray
Ölmez İsa
Ünlü, Mustafa
Özkan, Derya
Duygulu, Pınar
Date
2007Source Title
2007 IEEE 15th Signal Processing and Communications Applications
Publisher
IEEE
Language
Turkish
Type
Conference PaperItem Usage Stats
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Abstract
People are the most important subjects in news videos and for proper retrieval of people 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. In addition to that, with different face detection algorithms, the number and the type of the faces may differ. In this study, in order to get the best performance from existing methods, systematic evaluation of these methods is performed. In the experiments, news videos from TRECVID 2006 data set are used and for evaluation four different face detection methods are chosen.
Keywords
Challenging taskData sets
Face Detection
Face detection algorithms
Face detection and recognition
Face detection methods
News videos
Noise levels
Systematic evaluation
TRECVID
Algorithms
Signal detection
Signal processing
Face recognition
Permalink
http://hdl.handle.net/11693/27067Published Version (Please cite this version)
http://dx.doi.org/10.1109/SIU.2007.4298778Collections
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