关键词:颜色直方图; 粒子滤波; 卡尔曼预测; 目标跟踪
Particle filter and embedded in Kalman predictor for target tracking
WANG Yue-ling, WANG Rang-ding
(CKC Software Laboratory, Ningbo University, Ningbo Zhejiang 315211, China)
Abstract:The standard color particle filter spreads each particle with random walk method for target tracking. The traditional color histogram is used that can not reflect the characteristics of the target space. This paper proposed a novel color-based particle filter target tracking algorithms. The second-order color histogram was applied to get the observation of particle probability density function. In addition, used the Kalman filter to determine the spread of particle dynamic model of the uncertainty in the drift of the state. The distribution of particles was more accurately close to the probability distribution of the target, thus the use efficiency of particles was greatly improved. Computer simulation results demonstrate that the proposed algorithm is more robust as compare to the traditional color-based particle filter tracking algorithm. ......