An application of neural network in multiple target tracking

To solve the problem of data association and state estimation in multiple targets tracking system, we brought the network into the algorithms. By using the thinking of Hopfield network in TSP problem, NJPDA algorithm avoided the large computational burden in JPDA, and the parameters in NJPDA can be confirmed online. Based on the prime data association received from NJPDA, we used simplified data fusion adaptive filtering algorithm to realize the state estimation and prediction. These algorithms make the best use of the merits of the neural network ensure the accuracy and real-time of multiple targets tracking.