Person Re-identification by Multi-hypergraph Fusion
文献类型：期刊论文
| 作者 | An, Le1; Chen, Xiaojing2; Yang, Songfan3; Li, Xuelong4
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| 刊名 | ieee transactions on neural networks and learning systems
 |
| 出版日期 | 2016 |
| 期号 | 99 |
| 关键词 | Probes Space surveillance |
| ISSN号 | 2162237x |
| 产权排序 | 4 |
| 通讯作者 | chen, xiaojing (xchen010@ucr.edu) |
| 英文摘要 | matching people across nonoverlapping cameras, also known as person re;identification, is an important and challenging research topic. despite its great demand in many crucial applications such as surveillance, person re;identification is still far from being solved. due to drastic view changes, even the same person may look quite dissimilar in different cameras. illumination and pose variations further aggravate this discrepancy. to this end, various feature descriptors have been designed for improving the matching accuracy. since different features encode information from different aspects, in this paper, we propose to effectively leverage multiple off;the;shelf features via multi;hypergraph fusion. a hypergraph captures not only pairwise but also high;order relationships among the subjects being matched. in addition, different from conventional approaches in which the matching is achieved by computing the pairwise distance or similarity between a probe and a gallery subject, the similarities between the probe and all gallery subjects are learned jointly via hypergraph optimization. experiments on popular data sets demonstrate the effectiveness of the proposed method, and a superior performance is achieved as compared with the most recent state;of;the;arts. © 2016 ieee. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/28221]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan; 430074, China 2.Department of Computer Science and Engineering, University of California, Riverside; CA; 92521, United States 3.College of Electronics and Information Engineering, Sichuan University, Chengdu; 610064, China 4.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China |
| 推荐引用方式 GB/T 7714 | An, Le,Chen, Xiaojing,Yang, Songfan,et al. Person Re-identification by Multi-hypergraph Fusion[J]. ieee transactions on neural networks and learning systems,2016(99). |
| APA | An, Le,Chen, Xiaojing,Yang, Songfan,&Li, Xuelong.(2016).Person Re-identification by Multi-hypergraph Fusion.ieee transactions on neural networks and learning systems(99). |
| MLA | An, Le,et al."Person Re-identification by Multi-hypergraph Fusion".ieee transactions on neural networks and learning systems .99(2016). |
入库方式： OAI收割
来源：西安光学精密机械研究所
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