| Incremental pairwise discriminant analysis based visual tracking | |
| Wen, Jing2; Gao, Xinbo2; Li, Xuelong1; Tao, Dacheng3; Li, Jie2; J. Wen | |
| 2010-12-01 | |
| 发表期刊 | NEUROCOMPUTING
 |
| ISSN | 0925-2312 |
| 卷号 | 74期号:1-3页码:428-438 |
| 摘要 | The distinguishment between the object appearance and the background is the useful cues available for visual tracking in which the discriminant analysis is widely applied However due to the diversity of the background observation there are not adequate negative samples from the background which usually lead the discriminant method to tracking failure Thus a natural solution is to construct an object-background pair constrained by the spatial structure which could not only reduce the neg-sample number but also make full use of the background information surrounding the object However this Idea is threatened by the variant of both the object appearance and the spatial-constrained background observation especially when the background shifts as the moving of the object Thus an Incremental pairwise discriminant subspace is constructed in this paper to delineate the variant of the distinguishment In order to maintain the correct the ability of correctly describing the subspace we enforce two novel constraints for the optimal adaptation (1) pairwise data discriminant constraint and (2) subspace smoothness The experimental results demonstrate that the proposed approach can alleviate adaptation drift and achieve better visual tracking results for a large variety of nonstationary scenes (C) 2010 Elsevier B V All rights reserved |
| 文章类型 | Article |
| 关键词 | Pairwise Discriminant Analysis Log Euclidean Riemannian Incremental Learning Visual Tracking |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.neucom.2010.07.014 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | IMAGE RETRIEVAL ; OBJECT TRACKING ; SUBSPACE ; RECOGNITION |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000285805800040 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8552 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | J. Wen |
| 作者单位 | 1.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China 3.Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore |
| 推荐引用方式 GB/T 7714 | Wen, Jing,Gao, Xinbo,Li, Xuelong,et al. Incremental pairwise discriminant analysis based visual tracking[J]. NEUROCOMPUTING,2010,74(1-3):428-438. |
| APA | Wen, Jing,Gao, Xinbo,Li, Xuelong,Tao, Dacheng,Li, Jie,&J. Wen.(2010).Incremental pairwise discriminant analysis based visual tracking.NEUROCOMPUTING,74(1-3),428-438. |
| MLA | Wen, Jing,et al."Incremental pairwise discriminant analysis based visual tracking".NEUROCOMPUTING 74.1-3(2010):428-438. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Incremental pairwise（2172KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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