Tracking by local structural manifold learning in a new SSIR particle filter | |
Ding, Jianwei1; Tang, Yunqi1; Liu, Wei2; Huang, Yongzhen3; Huang, Kaiqi3 | |
发表期刊 | NEUROCOMPUTING |
2015-08-05 | |
卷号 | 161页码:277-289 |
文章类型 | Article |
摘要 | We propose a new object tracking algorithm by local structural manifold learning in a selective sampling importance resampling (SSIR) particle filter framework. A new local structural manifold learning strategy is designed for the invariant appearance modeling in challenging conditions. The appearance of the object which has complex structure in the low-dimensional space is approximated with a set of local structural manifolds. The local structures of the appearance manifold are incrementally learned with changes in the appearance of the object. Unlike traditional particle filters which rely on random resampling for new particles generation, we propose a new SSIR particle filter, which integrates an auto-regressive filter to improve the process of samples generation. The distribution of the generated particle samples by our method is better than that of the traditional techniques. Experimental results on several challenging videos demonstrate the robustness and accuracy of our algorithm compared with other recent excellent tracking approaches. (C) 2015 Elsevier B.V. All rights reserved. |
关键词 | Tracking Local Structural Manifold Ssir Particle Filter |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | REAL-TIME TRACKING ; VISUAL TRACKING |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000357910700029 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8873 |
专题 | 智能感知与计算研究中心 |
作者单位 | 1.Peoples Publ Secur Univ China, Beijing, Peoples R China 2.Nanyang Normal Univ, Nanyang, Henan, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Ding, Jianwei,Tang, Yunqi,Liu, Wei,et al. Tracking by local structural manifold learning in a new SSIR particle filter[J]. NEUROCOMPUTING,2015,161:277-289. |
APA | Ding, Jianwei,Tang, Yunqi,Liu, Wei,Huang, Yongzhen,&Huang, Kaiqi.(2015).Tracking by local structural manifold learning in a new SSIR particle filter.NEUROCOMPUTING,161,277-289. |
MLA | Ding, Jianwei,et al."Tracking by local structural manifold learning in a new SSIR particle filter".NEUROCOMPUTING 161(2015):277-289. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Jianwei Ding_Trackin(3389KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论