CASIA OpenIR  > 09年以前成果
Semantic-based surveillance video retrieval
Hu, Weiming; Xie, Dan; Fu, Zhouyu; Zeng, Wenrong; Maybank, Steve
AbstractVisual surveillance produces large amounts of video data. Effective indexing and retrieval from surveillance video databases are very important. Although there are many ways to represent the content of video clips in current video retrieval algorithms, there still exists a semantic gap between users and retrieval systems. Visual surveillance systems supply a platform for investigating semantic-based video retrieval. In this paper, a semantic-based video retrieval framework for visual surveillance is proposed. A cluster-based tracking algorithm is developed to acquire motion trajectories. The trajectories are then clustered hierarchically using the spatial and temporal information, to learn activity models. A hierarchical structure of semantic indexing and retrieval of object activities, where each individual activity automatically inherits all the semantic descriptions of the activity model to which it belongs, is proposed for accessing video clips and individual objects at the semantic level. The proposed retrieval framework supports various queries including queries by keywords, multiple object queries, and queries by sketch. For multiple object queries, succession and simultaneity restrictions, together with depth and breadth first orders, are considered. For sketch-based queries, a method for matching trajectories drawn by users to spatial trajectories is proposed. The effectiveness and efficiency of our framework are tested in a crowded traffic scene.
KeywordActivity Models Semantic-based Video Retrieval Visual Surveillance
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000245156500023
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Document Type期刊论文
Affiliation1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
2.Univ London Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HX, England
Recommended Citation
GB/T 7714
Hu, Weiming,Xie, Dan,Fu, Zhouyu,et al. Semantic-based surveillance video retrieval[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2007,16(4):1168-1181.
APA Hu, Weiming,Xie, Dan,Fu, Zhouyu,Zeng, Wenrong,&Maybank, Steve.(2007).Semantic-based surveillance video retrieval.IEEE TRANSACTIONS ON IMAGE PROCESSING,16(4),1168-1181.
MLA Hu, Weiming,et al."Semantic-based surveillance video retrieval".IEEE TRANSACTIONS ON IMAGE PROCESSING 16.4(2007):1168-1181.
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