A Study on Gait-Based Gender Classification

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	A Study on Gait-Based Gender Classification
	Yu, Shiqi 1,2; Tan, Tieniu1 ; Huang, Kaiqi1 ; Jia, Kui 2; Wu, Xinyu 2
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2009-08-01
卷号	18 期号:8 页码:1905-1910
文章类型	Article
摘要	Gender is an important cue in social activities. In this correspondence, we present a study and analysis of gender classification based on human gait. Psychological experiments were carried out. These experiments showed that humans can recognize gender based on gait information, and that contributions of different body components vary. The prior knowledge extracted from the psychological experiments can be combined with an automatic method to further improve classification accuracy. The proposed method which combines human knowledge achieves higher performance than some other methods, and is even more accurate than human observers. We also present a numerical analysis of the contributions of different human components, which shows that head and hair, back, chest and thigh are more discriminative than other components. We also did challenging cross-race experiments that used Asian gait data to classify the gender of Europeans, and vice versa. Encouraging results were obtained. All the above prove that gait-based gender classification is feasible in controlled environments. In real applications, it still suffers from many difficulties, such as view variation, clothing and shoes changes, or carrying objects. We analyze the difficulties and suggest some possible solutions.
关键词	Appearance-based Features Gait Analysis Gender Classification Human Silhouette
WOS标题词	Science & Technology ; Technology
关键词[WOS]	RECOGNITION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000268033300019
引用统计	被引频次：170[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3766
专题	智能感知与计算研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.CAS CUHK, Shenzhen Inst Adv Integrat Technol, Shenzhen 518067, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Yu, Shiqi,Tan, Tieniu,Huang, Kaiqi,et al. A Study on Gait-Based Gender Classification[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2009,18(8):1905-1910.
APA	Yu, Shiqi,Tan, Tieniu,Huang, Kaiqi,Jia, Kui,&Wu, Xinyu.(2009).A Study on Gait-Based Gender Classification.IEEE TRANSACTIONS ON IMAGE PROCESSING,18(8),1905-1910.
MLA	Yu, Shiqi,et al."A Study on Gait-Based Gender Classification".IEEE TRANSACTIONS ON IMAGE PROCESSING 18.8(2009):1905-1910.