Detecting suspicious background changes in video surveillance of busy scenes

Detecting background changes in scenes containing significant numbers of moving objects has several applications in video surveillance. One important example is the defection of suspicious packages left in busy airport terminals or train stations. The's paper outlines a statistical approach to automatically detecting long term changes to the stationary component of a scene, and describes a prototype system which has been used to successfully demonstrate the feasibility of this approach.