Face Identification based on TV videos

Author

Pozo-Banos, Marcos Del ; Travieso, Carlos M. ; Alonso, Jesús B. ; Ferrer, Miguel A.

Author_Institution

Dept. of Senales y Comun., Univ. of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

fYear

2009

fDate

5-8 Oct. 2009

Firstpage

119

Lastpage

125

Abstract

Face recognition has been a main object of study, producing robust systems with high reliability. However, these systems face the inconvenience of long processing times which are, in many cases, unwanted. This paper presents a simple face recognition approach from TV video files based on the redundancy of information and a face recognition system used in regular face pictures. More precisely, the model relies on the wavelet transform for parameterize faces and support vector machines in order to classify them. After some experiments, the model has shown perfect accuracy in subject detection and recognition, with maximum delay of around 2 seconds.

Keywords

face recognition; image classification; support vector machines; video signal processing; wavelet transforms; TV video file; face identification; face recognition; support vector machine classification; wavelet transform; Delay; Face detection; Face recognition; Redundancy; Robustness; Support vector machine classification; Support vector machines; TV; Videos; Wavelet transforms; Biometric system; Support Vector Machines (SVMs); face detection; face identificatio; pattern recognition; video processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Security Technology, 2009. 43rd Annual 2009 International Carnahan Conference on

Conference_Location

Zurich

Print_ISBN

978-1-4244-4169-3

Electronic_ISBN

978-1-4244-4170-9

Type

conf

DOI

10.1109/CCST.2009.5335553

Filename

5335553