Bahareh Torkaman - MSC student, Department of Electrical Iran University of Science and TechnologyTehran, Iran
Mohammad Farrokhi - Associate Professor, Department of Electrical Iran University of Science and TechnologyTehran, Iran

In this paper, the Kalman filter is employed successfully for state estimation of a moving target using the pan and tilt platform and a video camera as the visual servoing system. The proposed method is implemented experimentally to a laboratory-size pan and tilt platform. Experimental results show good target tracking by the Kalman filter to track object with constant acceleration movements.

real-time target tracking; Kalman filter; pan and tilt platform