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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
专题类脑智能研究中心
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.
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