Tracking of moving object based on genetic algorithm and Kalman filter
一种基于遗传算法和卡尔曼滤波的运动目标跟踪方法

A real-time tracking of moving object method based on Genetic Algorithm(GA)and Kalman filter was proposed.The possible position of moving target center in the next frame image was predicted by Kalman filter,and a search region of target was generated around the center position.Genetic Algorithms(GA)was utilized to search the best position in the region.The GA fitness function was Bhattacharyya coefficient between the gray features of the target template and the candidate area's,and the parameter code was the coordinates of candidate center position.Finally,the best position was used as an observed value for next prediction.The experimental results show that the method is effective and robust.