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...

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Veröffentlicht in:	2014 12th International Conference on Signal Processing (ICSP) S. 1263 - 1267
Hauptverfasser:	Lijia Lu, Weiyang Liu, Yandong Wen, Yuexian Zou
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2014
Schlagworte:	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-Zugang:	Volltext
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