Tracking model for abnormal behavior from multiple network CCTV using the Kalman filter

Abstract

The Closed Circuit Television (CCTV) systems have been used at large scale for tracking and getting popularity with every passing day. The most common goal of CCTV system is prevention of crime and disorder by tracking the objects. In the future, the efficiently usage of CCTV is the protection of crime based the tracking system for predication about abnormal situations. In this paper, we propose a tracking model for prevention of crime by using Kalman Filter. The tracking model uses some extracted characteristic of objects and relationships among objects from CCTVs on the street. So, this paper studies the tracking model that consists of three steps as follows; object assessment, situation assessment, and risk assessment.