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View-invariant Discriminative Projection for Multi-view Gait-based Human Identification
Maodi Hu; Yunhong Wang; Zhaoxiang Zhang; James J. Little; Di Huang
Source PublicationIEEE Transactions on Information Forensics and Security
2013-10-28
Volume8Issue:12Pages:2034-2045
AbstractExisting methods for multi-view gait-based identification mainly focus on transforming the features of one view to the features of another view, which is technically sound but has limited practical utility. In this paper, we propose a view-invariant discriminative projection (ViDP) method, to improve the discriminative ability of multi-view gait features by a unitary linear projection. It is implemented by iteratively learning the low dimensional geometry and finding the optimal projection according to the geometry. By virtue of ViDP, the multi-view gait features can be directly matched without knowing or estimating the viewing angles. The ViDP feature projected from gait energy image achieves promising performance in the experiments of multi-view gait-based identification. We suggest that it is possible to construct a gait-based identification system for arbitrary probe views, by incorporating the information of gallery data with sufficient viewing angles. In addition, ViDP performs even better than the state-of-the-art view transformation methods, which are trained for the combination of gallery and probe viewing angles in every evaluation.
KeywordView-invariant Discriminative Projection Multi-view Gait-based Identification
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13216
Collection类脑智能研究中心
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Maodi Hu,Yunhong Wang,Zhaoxiang Zhang,et al. View-invariant Discriminative Projection for Multi-view Gait-based Human Identification[J]. IEEE Transactions on Information Forensics and Security,2013,8(12):2034-2045.
APA Maodi Hu,Yunhong Wang,Zhaoxiang Zhang,James J. Little,&Di Huang.(2013).View-invariant Discriminative Projection for Multi-view Gait-based Human Identification.IEEE Transactions on Information Forensics and Security,8(12),2034-2045.
MLA Maodi Hu,et al."View-invariant Discriminative Projection for Multi-view Gait-based Human Identification".IEEE Transactions on Information Forensics and Security 8.12(2013):2034-2045.
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