|Title:||Face identification based on TV videos||Authors:||Del Pozo-Baños, Marcos
Travieso, Carlos M.
Alonso, Jesús B.
Ferrer, Miguel A.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||TV , Videos , Face recognition , Face detection , Robustness , Redundancy , Wavelet transforms , Support vector machines , Support vector machine classification , Delay , Biometric system , face identificatio , face detection , video processing , Support Vector Machines (SVMs) , pattern recognition||Issue Date:||2009||Publisher:||1071-6572||Journal:||Proceedings - International Carnahan Conference on Security Technology||Conference:||43rd Annual 2009 International Carnahan Conference on Security Technology, ICCST 2009||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.||URI:||http://hdl.handle.net/10553/44070||ISBN:||9781424441709||ISSN:||1071-6572||DOI:||10.1109/CCST.2009.5335553||Source:||Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572] (5335553), p. 119-125|
|Appears in Collections:||Actas de congresos|
checked on Feb 28, 2021
checked on Mar 1, 2021