CASIA OpenIR  > 类脑智能研究中心
Estimation of view angles for gait using a robust regression method
De Zhang; Yunhong Wang; Zhaoxiang Zhang; Maodi Hu
2013-08-13
发表期刊Multimedia Tools and Applications
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
专题类脑智能研究中心
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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