Tracking by local structural manifold learning in a new SSIR particle filter
文献类型:期刊论文
作者 | Ding, Jianwei1; Tang, Yunqi1; Liu, Wei2; Huang, Yongzhen3; Huang, Kaiqi3 |
刊名 | NEUROCOMPUTING |
出版日期 | 2015-08-05 |
卷号 | 161页码:277-289 |
关键词 | Tracking Local structural manifold SSIR particle filter |
英文摘要 | 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. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | REAL-TIME TRACKING ; VISUAL TRACKING |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000357910700029 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/8873] |
专题 | 自动化研究所_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. |
入库方式: OAI收割
来源:自动化研究所
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