Robust object tracking guided by top-down spectral analysis visual attention
Li, Wanyi1; Wang, Peng1; Jiang, Rui2; Qiao, Hong2
2015-03-25
发表期刊NEUROCOMPUTING
卷号152期号:页码:170-178
文章类型Article
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.
关键词Object Tracking Visual Attention Saliency Abrupt Motion Complete Occlusion
WOS标题词Science & Technology ; Technology
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:000349572600018
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符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
通讯作者Li, Wanyi
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
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Li, Wanyi,Wang, Peng,Jiang, Rui,et al. Robust object tracking guided by top-down spectral analysis visual attention[J]. NEUROCOMPUTING,2015,152(无):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(无),170-178.
MLA Li, Wanyi,et al."Robust object tracking guided by top-down spectral analysis visual attention".NEUROCOMPUTING 152.无(2015):170-178.
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