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A. Toal and H. Buxton
ABSTRACT
The majority of potential vision applications such as robotic guidance and visual surveillance involve the real-time analysis and description of object behaviour from image sequences. In the VIEWS project we are developing advanced visual surveillance capabilities for situations where the scene structure, objects and much of the expected behaviour is known. This combines competences from image understanding, knowledge-based processing and real-time technology. In this paper we discuss the spatio - temporal reasoning and prediction which is of central importance to the system allowing behavioural feedback. In particular, we will elaborate the analysis of occlusion behaviour where we need knowledge of the camera geometry to invoke the occlusion region monitoring of vehicles plus knowledge of the scene geometry to maintain high-level methods of possible trajectories for the occluded vehicles and to recognise the re-emerging vehicle(s). 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Spatio-temporal reasoning within a traffic surveillance systemSite generated on Friday, 06 January 2006