【摘要】 在使用Lucas-Kanade光流法进行目标跟踪时,由于目标本身存在旋转、位移、缩放等情况,导致估计参数偏差大而影响跟踪的准确性.因此提出使用PSO对Lucas-Kanade光流法中参数做最优化处理,估算出有效参数范围,以取代传统的区域求解法.实验结果表明,该算法能快速有效地跟踪目标.更多还原

【Abstract】 When Lucas-Kanade Algorithm was used for tracking,the deviation area of estimation parameter increased,due to rotation,displacement,and scaling of the target itself,and the tracking accuracy was weakened.A new algorithm was proposed by the Lucas-Kanade parameter optimization using PSO,and computed a suitable range of parameters instead of local solutions by the traditional method.Simulation results showed that this algorithm could reliably track moving objects.更多还原