An Algorithm for Multiple Targets Tracking Based on Fuzzy Self-Organizing Neural Network
LIN Lan,QIU Xiao-hong (Institute of Computer Science,Jiangxi Normal University,Nanchang 330027, China)
The complication feature of data association in multiple targets tracking is analyzed. The features of the fuzzy self-organizing neural network based on the fuzzy C-mean algorithm and its application in the data association for multiple targets tracking are studied, and a new tracking algorithm is proposed, which integrates the classification function of FKCN algorithm and the self-organizing neural network in data association and kalman filter estimation method. Simulation results show that the tracking algorithm works well in multiple targets tracking condition.
【CateGory Index】： TP183