Target Tracking in the Dual Band IR Imaging System Using Adaptive Weighting Fusion Based on Fuzzy Inference

Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference. The algorithm firstly decides the performance of all sensors using a method integrated the BP neural network and fuzzy inference; Then, sums multi-sensors observation data adaptively with different weights based on the measure of these sensors to get the multi-sensors reconstruction observation of target position; Finally, filters the multi-sensors reconstruction observation using the Kalman filter to get the system estimate of target position. The result of experiments proved the effectiveness and robustness of the algorithm.