Real-Time Template Based Tracking With Global Motion Compensation in Uav Video

Abstract

In this paper we describe a combination of Kalman filter with global motion estimation, between consecutive frames, implemented to improve target tracking in the presence of rapid motions of the camera encountered in human operated UAV based video surveillance systems. The global motion estimation allows to retain the localization of the tracked targets provided by the Kalman filter. The original target template is selected by the operator. SSD error measure is used to find the best match for the template in video frames.