Systematic Evaluation of Face Detection Algorithms on News Videos

Author

Acar, Can ; Atlas, Arda ; Cevik, Koray ; Olmez, Isa ; Unlu, Mehmet ; Ozkan, Derya ; Duygulu, Pinar

Author_Institution

Bilgisayar Muhendisligi Bolumu Bilkent Univ., Ankara, Turkey

fYear

2007

fDate

11-13 June 2007

Firstpage

1

Lastpage

4

Abstract

People arc 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 arc used and for evaluation four different face detection methods arc chosen.

Keywords

face recognition; video signal processing; face detection algorithms; face recognition; image retrieval; news videos; Face detection; Face recognition; Image retrieval; Instruction sets; NIST; Noise level; Performance evaluation; Reactive power; Videos;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th

Conference_Location

Eskisehir

Print_ISBN

1-4244-0719-2

Electronic_ISBN

1-4244-0720-6

Type

conf

DOI

10.1109/SIU.2007.4298778

Filename

4298778