Ethnicity Classification Based on a Hierarchical Fusion

CASIA OpenIR > 模式识别实验室

	Ethnicity Classification Based on a Hierarchical Fusion
	De Zhang; Yunhong Wang; Zhaoxiang Zhang
	2012-12-04
会议名称	Chinese Conference on Biometric Recognition
会议录名称	CCBR 2012
会议日期	4-5 December 2012
会议地点	Guangzhou, China
摘要	In this paper, we propose a cascaded multimodal biometrics system involving a fusion of frontal face and lateral gait, for the specific problem of ethnicity classification. This system performs human ethnicity classification first from the cues of gait recorded by a long-distance camera and requires next classification using facial images captured by a short-distance camera only when gait based ethnicity identification fails. For gait, we use Gait Energy Image (GEI), a spatio-temporal compact representation of gait in video, to characterize human walking properties. For face, we extract the well-known Gabor feature to render the effective facial appearance information. Experimental results obtained from a database of 22 subjects containing 12 East-Asian and 10 South-American shows that this cascaded system is capable of providing competitive discriminative power on ethnicity with a correct classification rate over 95%.
关键词	Ethnicity Face Gait Fusion
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13292
专题	模式识别实验室
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	De Zhang,Yunhong Wang,Zhaoxiang Zhang. Ethnicity Classification Based on a Hierarchical Fusion[C],2012.