Object Tracking in Simulink using Extended Kalman Filter

Abstract: Moving object tracking has been widely used in various areas such as intelligent transportation system, video surveillance applications and airport security system and so on.In this paper, we are explaining an example of how to implement an Extended Kalman filter in Simulink. The problem of tracking flying objects is implemented using Extended Kalman Filter. Simulink is an environment for simulation and model-based design for dynamic and embedded systems. Extended Kalman Filter is the nonlinear version of Kalman Filter.

Keywords: Kalman filter, LQE, EKF, Simulink.