Event detection for intelligent car park video surveillance

Abstract

Intelligent surveillance has become an important research issue due to the high cost and low efficiency of human supervisors, and machine intelligence is required to provide a solution for automated event detection. In this paper we describe a real-time system that has been used for detecting tailgating, an example of complex interactions and activities within a vehicle parking scenario, using an adaptive background learning algorithm and intelligence to overcome the problems of object masking, separation and occlusion. We also show how a generalized framework may be developed for the detection of other complex events.