Using Disparity Map for Moving Object Position Estimation in Pan Tilt Camera Images

In this paper we present the algorithm for rapid moving object position estimation in an images acquired from pan tilt camera. Detection of a moving object in a image acquired from a moving camera might be quite challenging. Standard methods that relay on analyzing two consecutive frames are not applicable due to the changing background. To overtake this problem we decided to evaluate the possibility of calculating a disparity map based on this consecutive images. As a result we were able to obtain approximate position of moving object in real time. Using cpu the average detection time was below 0.17 second.