Abstract:

Aimed at the tracking drift bought by imaging perspective and distance changes in the tracking process of image-guided target tracking system, a tracking algorithm using the distance information to dynamically change the scale of tracking window of the Mean-Shift algorithm was proposed. Firstly, the targets gray feature model was established according to the selected initial tracking template, and the initial scale of tracking window of Mean-Shift was determined. Then, the window’s scale was updated according to the distance information to ensure the tracking window contain the target completely or partially while the tracking system gradually closed to the target. Finally, Bhattacharyya correlation coefficient was used to update the target template nonlinearly after the tracking convergence of each frame. This paper uses the flight video data generated by Vega to simulate the algorithm, and the result shows that it can adapt to the expanding of the goal, and reduce the tracking drift in a large extent.

Key words: ordnance science and technology, image guidance, distance information, Mean-Shift, scale of tracking window, tracking drift