Real-Time Visual Tracking of a Moving Object Using Pan and Tilt Platform: A Kalman Filter Approach

Real-Time Visual Tracking of a Moving Object Using Pan and Tilt Platform: A Kalman Filter Approach

This paper presents a vision-based navigation strategy for a pan and tilt platform and a mounted video camera as a visual sensor. For detection of objects, a suitable imageprocessing algorithm is used. Moreover, estimation of the object position is performed using the Kalman filter as an estimator.The proposed method is implemented experimentally to a laboratory-size pan and tilt platform. Experimental results show good target tracking by the proposed method in real-time