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An Improved Hierarchical Dirichlet Process-Hidden Markov Model and Its Application to Trajectory Modeling and Retrieval
Hu, Weiming1; Tian, Guodong1; Li, Xi1; Maybank, Stephen2
Source PublicationINTERNATIONAL JOURNAL OF COMPUTER VISION
2013-12-01
Volume105Issue:3Pages:246-268
SubtypeArticle
AbstractIn this paper, we propose a hierarchical Bayesian model, an improved hierarchical Dirichlet process-hidden Markov model (iHDP-HMM), for visual document analysis. The iHDP-HMM is capable of clustering visual documents and capturing the temporal correlations between the visual words within a visual document while identifying the number of document clusters and the number of visual topics adaptively. A Bayesian inference mechanism for the iHDP-HMM is developed to carry out likelihood evaluation, topic estimation, and cluster membership prediction. We apply the iHDP-HMM to simultaneously cluster motion trajectories and discover latent topics for trajectory words, based on the proposed method for constructing the trajectory word codebook. Then, an iHDP-HMM-based probabilistic trajectory retrieval framework is developed. The experimental results verify the clustering accuracy of the iHDP-HMM and trajectory retrieval accuracy of the proposed framework.
KeywordHierarchical Dirichlet Process Hidden Markov Model Trajectory Analysis Video Retrieval
WOS HeadingsScience & Technology ; Technology
WOS KeywordCURVATURE SCALE-SPACE ; VIDEO RETRIEVAL ; TIME-SERIES ; CLASSIFICATION ; SURVEILLANCE ; RECOGNITION ; PATTERNS ; MIXTURE
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000323659900004
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3278
Collection模式识别国家重点实验室_视频内容安全
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ London Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Hu, Weiming,Tian, Guodong,Li, Xi,et al. An Improved Hierarchical Dirichlet Process-Hidden Markov Model and Its Application to Trajectory Modeling and Retrieval[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2013,105(3):246-268.
APA Hu, Weiming,Tian, Guodong,Li, Xi,&Maybank, Stephen.(2013).An Improved Hierarchical Dirichlet Process-Hidden Markov Model and Its Application to Trajectory Modeling and Retrieval.INTERNATIONAL JOURNAL OF COMPUTER VISION,105(3),246-268.
MLA Hu, Weiming,et al."An Improved Hierarchical Dirichlet Process-Hidden Markov Model and Its Application to Trajectory Modeling and Retrieval".INTERNATIONAL JOURNAL OF COMPUTER VISION 105.3(2013):246-268.
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