BMVC 2004, Kingston, 7th-9th Sept, 2004

Detecting inexplicable behaviour
H. Dee and D. Hogg (University of Leeds)

This paper presents a novel approach to the detection of unusual or interesting
events in videos involving certain types of intentional behaviour, such
as pedestrian scenes. The approach is not based upon a statistical measure
of typicality, but upon building an understanding of the way people navigate
towards a goal. The activity of agents moving around within the scene is
evaluated based upon whether the behaviour in question is consistent with
a simple model of goal-directed behaviour and a model of those goals and
obstacles known to be in the scene. The advantages of such an approach are
multiple: it handles the presence of movable obstacles (for example, parked
cars) with ease; trajectories which have never before been presented to the
system can be classified as explicable; and the technique as a whole has a
prima facie psychological plausibility. A system based upon these principles
is demonstrated in two scenes: a car-park, and in a foyer scenario1.
(pdf article)