Robust Deformable and Occluded Object Tracking With Dynamic Graph
文献类型：期刊论文
| 作者 | Cai, Zhaowei1; Wen, Longyin2; Lei, Zhen2 ; Vasconcelos, Nuno1; Li, Stan Z.2
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 出版日期 | 2014-12-01 |
| 卷号 | 23期号:12页码:5497-5509 |
| 关键词 | Visual tracking dynamic graph graph matching deformation occlusion |
| 英文摘要 | While some efforts have been paid to handle deformation and occlusion in visual tracking, they are still great challenges. In this paper, a dynamic graph-based tracker (DGT) is proposed to address these two challenges in a unified framework. In the dynamic target graph, nodes are the target local parts encoding appearance information, and edges are the interactions between nodes encoding inner geometric structure information. This graph representation provides much more information for tracking in the presence of deformation and occlusion. The target tracking is then formulated as tracking this dynamic undirected graph, which is also a matching problem between the target graph and the candidate graph. The local parts within the candidate graph are separated from the background with Markov random field, and spectral clustering is used to solve the graph matching. The final target state is determined through a weighted voting procedure according to the reliability of part correspondence, and refined with recourse to a foreground/background segmentation. An effective online updating mechanism is proposed to update the model, allowing DGT to robustly adapt to variations of target structure. Experimental results show improved performance over several state-of-the-art trackers, in various challenging scenarios. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | ENERGY MINIMIZATION ; ONLINE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000345565000001 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8022]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_生物识别与安全技术研究中心 |
| 作者单位 | 1.Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA 2.Chinese Acad Sci, Inst Automat, Ctr Biometr & Secur Res, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cai, Zhaowei,Wen, Longyin,Lei, Zhen,et al. Robust Deformable and Occluded Object Tracking With Dynamic Graph[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2014,23(12):5497-5509. |
| APA | Cai, Zhaowei,Wen, Longyin,Lei, Zhen,Vasconcelos, Nuno,&Li, Stan Z..(2014).Robust Deformable and Occluded Object Tracking With Dynamic Graph.IEEE TRANSACTIONS ON IMAGE PROCESSING,23(12),5497-5509. |
| MLA | Cai, Zhaowei,et al."Robust Deformable and Occluded Object Tracking With Dynamic Graph".IEEE TRANSACTIONS ON IMAGE PROCESSING 23.12(2014):5497-5509. |
入库方式： OAI收割
来源：自动化研究所
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