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Covariance Tracking via Geometric Particle Filtering
Liu YP(刘云鹏); Li GW(李广伟); Shi ZL(史泽林)
Department光电信息研究室
Source PublicationEURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
ISSN1687-6180
2010
Pages1-9
Indexed BySCI ; EI
EI Accession number20103813250477
WOS IDWOS:000282898500001
Contribution Rank1
Funding OrganizationThis work is partly supported by the National Natural Science Foundation of China (Grant no. 60603097) and the National Defense Innovation Foundation of Chinese Academy Sciences (CXJJ-65).
KeywordVisual Tracking Object Tracking Models
AbstractRegion covariance descriptor recently proposed has been approved robust and elegant to describe a region of interest, which has been applied to visual tracking. We develop a geometric method for visual tracking, in which region covariance is used to model objects appearance; then tracking is led by implementing the particle filter with the constraint that the system state lies in a low dimensional manifold: affine Lie group. The sequential Bayesian updating consists of drawing state samples while moving on the manifold geodesics; the region covariance is updated using a novel approach in a Riemannian space. Our main contribution is developing a general particle filtering-based racking algorithm that explicitly take the geometry of affine Lie groups into consideration in deriving the state equation on Lie groups. Theoretic analysis and experimental evaluations demonstrate the promise and effectiveness of the proposed tracking method.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectEngineering, Electrical & Electronic
WOS KeywordVISUAL TRACKING ; OBJECT TRACKING ; MODELS
WOS Research AreaEngineering
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/7158
Collection光电信息技术研究室
Corresponding AuthorLiu YP(刘云鹏)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School of Chinese Academy of Sciences, Beijing 100049, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang 110016, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province 110016, China
5.Management Science and Engineering Department, Qingdao University, Qingdao 266071, China
Recommended Citation
GB/T 7714
Liu YP,Li GW,Shi ZL. Covariance Tracking via Geometric Particle Filtering[J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,2010:1-9.
APA Liu YP,Li GW,&Shi ZL.(2010).Covariance Tracking via Geometric Particle Filtering.EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,1-9.
MLA Liu YP,et al."Covariance Tracking via Geometric Particle Filtering".EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2010):1-9.
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