Data association for target tracking by several passive sensors

In recent years, there has been considerable interest within the tracking community in the approach to data association based on the assignment algorithm. The focus of this paper is to describe a new dynamic S-D assignment algorithm. In the presence of clutter, missed detections, the new method incorporates the image intensity information into the dynamic assignment cost coefficient. To reasonably utilize the special feature of IR sensors, the association becomes more accurate and, at mean time, the complexity of the algorithm has not obviously increased. The simulation results show that the proposed approach has better performance than traditional approaches.