Exploiting contextual data for event retrieval in surveillance video
Kelly, Philip and Ó Conaire, Ciarán and O'Connor, Noel E. (2009) Exploiting contextual data for event retrieval in surveillance video. In: CIVR 2009 - ACM International Conference on Image and Video Retrieval, 8-10 July, 2009, Santorini, Greece. ISBN 978-1-60558-480-5
Full text available as:
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.
Archive Staff Only: edit this record