Title :
Statistical models of object interaction
Author :
Morris, R.J. ; Hogg, D.C.
Author_Institution :
Sch. of Comput. Studies, Leeds Univ., UK
Abstract :
We present a method for assessing the likelihood of a trajectory of an object through a scene consisting of a number of other objects. The closest points on the trajectory to the other objects are chosen as landmark points and at each landmark we calculate the probability of the interaction. Sequences of such probabilities are then analysed to give the likelihood of the whole trajectory
Keywords :
computer vision; motion estimation; object recognition; optical tracking; probability; road vehicles; surveillance; traffic engineering computing; car park scene; landmark points; object interaction; probability; statistical models; surveillance; vehicle motion tracking; Active shape model; Automatic logic units; Bayesian methods; Electrical capacitance tomography; Layout; Natural languages; Probability density function; Surveillance; Tracking; Vehicles;
Conference_Titel :
Visual Surveillance, 1998. Proceedings., 1998 IEEE Workshop on
Conference_Location :
Bombay
Print_ISBN :
0-8186-8320-1
DOI :
10.1109/WVS.1998.646024
