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CIVR
2009
Springer

Exploiting contextual data for event retrieval in surveillance video

9 years 3 months ago
Exploiting contextual data for event retrieval in surveillance video
Contextual information is vital for the robust extraction of semantic information in automated surveillance systems. We have developed a scene independent framework for the detection of events in which we provide 2D and 3D contextual data for the scene under surveillance via a novel fast and convenient interface tool. In addition, the proposed framework illustrates the use of integral images, not only for detection, as with the classic Viola-Jones object detector, but also for efficient tracking. Finally, we provide a quantitative assessment of the performance of the proposed system in a number of physical locations via groundtruthed datasets. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing—indexing methods, abstracting methods; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—query formulation; I.2.10 [Artificial Intelligence]: Vision and Scene Understanding—video analysis; I.4.8 [Image Proc...
Philip Kelly, Ciarán O. Conaire, Noel E. O'
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIVR
Authors Philip Kelly, Ciarán O. Conaire, Noel E. O'Connor
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