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...

• Type: Conference
• Year: 2009
• Where: CIVR
• Authors: Philip Kelly, Ciarán O. Conaire, Noel E. O'Connor
• Keywords: CIVR 2009, Convenient Interface Tool, Multimedia, Scene Analysis—tracking Keywords, Scene Independent Framework