Estimation of view angles for gait using a robust regression method | |
De Zhang; Yunhong Wang; Zhaoxiang Zhang; Maodi Hu | |
发表期刊 | Multimedia Tools and Applications |
2013-08-13 | |
卷号 | 65期号:3页码:419-439 |
摘要 | The performance of most gait recognition methods would drop down if the viewpoint of test data is different from the viewpoint of training data. In this paper, we present an idea of estimating the view angle of a test sample in advance so as to compare it with the corresponding training samples with the same or approximate viewpoint. In order to obtain reliable estimation results, the view-sensitive features should be extracted. We propose a novel and effective feature extraction method to characterize the silhouettes from different views. The discrimination power of this representation is also verified through experiments. Afterwards, the robust regression method is employed to estimate the viewpoint of gait. The view angles of test samples from BUAA-IRIP Gait Database are estimated with the regression models learned from CASIA Gait Database. Compared with the ground truth angles, such estimation is satisfactory with a small error level. Therefore, it can provide necessary help for gait application systems when the view angles of test data are uncertain. This point is verified experimentally through integrating the view angle estimation into a gait based gender classification system. |
关键词 | Gait Robust Regression View Estimation Gender Classification |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13234 |
专题 | 智能感知与计算研究中心 |
通讯作者 | Yunhong Wang |
推荐引用方式 GB/T 7714 | De Zhang,Yunhong Wang,Zhaoxiang Zhang,et al. Estimation of view angles for gait using a robust regression method[J]. Multimedia Tools and Applications,2013,65(3):419-439. |
APA | De Zhang,Yunhong Wang,Zhaoxiang Zhang,&Maodi Hu.(2013).Estimation of view angles for gait using a robust regression method.Multimedia Tools and Applications,65(3),419-439. |
MLA | De Zhang,et al."Estimation of view angles for gait using a robust regression method".Multimedia Tools and Applications 65.3(2013):419-439. |
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