Systematic evaluation of face detection algorithms on news videos
2007 IEEE 15th Signal Processing and Communications Applications, SIU
Item Usage Stats
MetadataShow full item record
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.
Face detection algorithms
Face detection and recognition
Face detection methods
Permalink (Please cite this version)http://hdl.handle.net/11693/27067
Showing items related by title, author, creator and subject.
Verstockt, S.; Hoecke, S. V.; Beji, T.; Merci, B.; Gouverneur, B.; Cetin, A. E.; Potter, P. D.; Walle, R. V. D. (Elsevier, 2013)In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight ...
Habiboǧlu, Y.H.; Günay O.; Çetin, A.E. (2011)Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance features extracted from these blocks ...
Bayram, S.; Gezici, S.; Poor H.V. (2010)Effects of additive independent noise are investigated for sub-optimal detectors according to the restricted Bayes criterion. The statistics of optimal additive noise are characterized. Also, sufficient conditions for ...