CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
Robust Deformable and Occluded Object Tracking With Dynamic Graph
Cai, Zhaowei1; Wen, Longyin2; Lei, Zhen2; Vasconcelos, Nuno1; Li, Stan Z.2
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2014-12-01
Volume23Issue:12Pages:5497-5509
SubtypeArticle
AbstractWhile 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.
KeywordVisual Tracking Dynamic Graph Graph Matching Deformation Occlusion
WOS HeadingsScience & Technology ; Technology
WOS KeywordENERGY MINIMIZATION ; ONLINE
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000345565000001
Citation statistics
Cited Times:43[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8022
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.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
Recommended Citation
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.
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