文章基本信息

标题：Multi-view Gender Classification using hybrid Transformed Features
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作者：Muhammad Nazir ; Anwar. M. Mirza
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2012
卷号：7
期号：2
出版社：SERSC
摘要：In this paper, a two step efficient pose based gender classification technique has been presented. In first step, the proposed technique uses different type of features for pose classification which classifies the input image as frontal or side pose image. Based on pose classification result, gender classification is performed in the second step. Two different types of gender classifiers have been proposed for both side pose and frontal images which use the image and pose classification result as input and classifies the image as male or female. The proposed technique is tested over standard datasets using well known quantitative measures. Results show that the proposed technique gives superior performance than the existing techniques.
关键词：Pose based Gender classification; Hybrid Feature extraction