Ethnicity Classification Based on a Hierarchical Fusion
文献类型：会议论文
| 作者 | De Zhang; Yunhong Wang; Zhaoxiang Zhang
|
| 出版日期 | 2012-12-04 |
| 会议日期 | 4-5 December 2012 |
| 会议地点 | Guangzhou, China |
| 关键词 | Ethnicity Face Gait Fusion |
| 英文摘要 | 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%. |
| 会议录 | CCBR 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13292]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 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]. 见:. Guangzhou, China. 4-5 December 2012. |
入库方式： OAI收割
来源：自动化研究所
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