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Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking
Yin, Yingjie; Xu, De; Wang, Xingang; Bai, Mingran
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
2015-09-01
Volume45Issue:9Pages:1988-2000
SubtypeArticle
AbstractIn this paper, we propose a robust state-based structured support vector machine (SVM) tracking algorithm combined with incremental principal component analysis (PCA). Different from the current structured SVM for tracking, our method directly learns and predicts the object's states and not the 2-D translation transformation during tracking. We define the object's virtual state to combine the state-based structured SVM and incremental PCA. The virtual state is considered as the most confident state of the object in every frame. The incremental PCA is used to update the virtual feature vector corresponding to the virtual state and the principal subspace of the object's feature vectors. In order to improve the accuracy of the prediction, all the feature vectors are projected onto the principal subspace in the learning and prediction process of the state-based structured SVM. Experimental results on several challenging video sequences validate the effectiveness and robustness of our approach.
KeywordIncremental Pca Object Tracking State Space Structured Svm
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TCYB.2014.2363078
WOS KeywordSPARSE APPEARANCE MODEL ; VECTOR MACHINE ; REPRESENTATION ; SELECTION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000360019000023
Citation statistics
Cited Times:16[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8956
Collection精密感知与控制研究中心_精密感知与控制
AffiliationChinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yin, Yingjie,Xu, De,Wang, Xingang,et al. Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking[J]. IEEE TRANSACTIONS ON CYBERNETICS,2015,45(9):1988-2000.
APA Yin, Yingjie,Xu, De,Wang, Xingang,&Bai, Mingran.(2015).Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking.IEEE TRANSACTIONS ON CYBERNETICS,45(9),1988-2000.
MLA Yin, Yingjie,et al."Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking".IEEE TRANSACTIONS ON CYBERNETICS 45.9(2015):1988-2000.
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