中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust object tracking guided by top-down spectral analysis visual attention

文献类型:期刊论文

作者Li, Wanyi1; Wang, Peng1; Jiang, Rui2; Qiao, Hong2
刊名NEUROCOMPUTING
出版日期2015-03-25
卷号152页码:170-178
关键词Object tracking Visual attention Saliency Abrupt motion Complete occlusion
英文摘要Object tracking is an important computer vision task, and existing tracking algorithms have achieved great progress. However, several challenging issues still remain to be solved, such as abrupt motion, longtime complete occlusion and target reappearing after moving completely out of the frame. To address these issues, we propose a top-down spectral analysis visual attention guided tracking method. Given an image sequence, top-down saliency maps for each input image are calculated by introducing top down information, which is learned at the beginning of tracking process, to spectral analysis attention model. Then, guided by the calculated saliency maps, target search is performed by local and global search processes and also with a validation process. Experimental results demonstrate the effectiveness of the proposed method. (C) 2014 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
收录类别SCI
语种英语
WOS记录号WOS:000349572600018
源URL[http://ir.ia.ac.cn/handle/173211/8054]  
专题精密感知与控制研究中心_精密感知与控制
作者单位1.Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Li, Wanyi,Wang, Peng,Jiang, Rui,et al. Robust object tracking guided by top-down spectral analysis visual attention[J]. NEUROCOMPUTING,2015,152:170-178.
APA Li, Wanyi,Wang, Peng,Jiang, Rui,&Qiao, Hong.(2015).Robust object tracking guided by top-down spectral analysis visual attention.NEUROCOMPUTING,152,170-178.
MLA Li, Wanyi,et al."Robust object tracking guided by top-down spectral analysis visual attention".NEUROCOMPUTING 152(2015):170-178.

入库方式: OAI收割

来源:自动化研究所

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