Design and development of intelligent anomalous behaviour and event detection system

This paper discusses the preliminary design and development of an online anomalous behaviour and event detection system. Live video feeds from CCTV camera were obtained and processed. Important biomechanics features were then extracted and analyzed to discriminate and determine the dynamic objects in the current video scene. Human and nonhuman dynamic objects were then stored in the temporal memory of the system and tracked within the video scene. The tracked human´s spatio-temporal activities were then tracked to establish their behaviour and subsequently the occurred event. Augmented with ambient information and a-priori normal condition rules, the system will then search for any anomalous behaviour and event from the set of occurring behaviour and events. The preliminary implementation and result of the system, the Intelligent Video Surveillance System (InViSS^©) are presented in this paper.