Automatical gender detection for unconstrained video sequences based on collaborative representation

Many intelligent systems are required to deal with the situation of human-computer interaction. As one of the most important front ends, gender classification plays an irreplaceable role. For practical use, a real-time robust gender classification system is presented in this paper. The system consis...

Full description

Bibliographic Details

Published in:	2014 12th International Conference on Signal Processing (ICSP) pp. 1263 - 1267
Main Authors:	Lijia Lu, Weiyang Liu, Yandong Wen, Yuexian Zou
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2014
Subjects:	Ada-Boost algorithm Automatical gender detection Classification algorithms Collaborative representation classifier Detectors Face Feature extraction Real-time system Real-time systems Robustness
ISBN:	9781479921881, 1479921882
ISSN:	2164-5221
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!