面向复杂环境的运动目标追踪与控制算法分析

Analysis of Motion Target Tracking and Control Algorithms for Complex Environments

阐述针对复杂环境下的运动目标追踪与控制问题,提出一种综合应用H分量背景加权方法统计直方图、自适应背景更新颜色概率分布图、膨胀算法降噪填充、Camshift算法迭代质心位置和贪心预测法运动预测策略的算法。该算法能够实时地追踪目标并准确控制其运动轨迹。

This paper describes the problem of tracking and controlling moving targets in complex environments,and proposes an algorithm that comprehensively applies the H-component background weighting method to statistical histograms,adaptive background update color probability distribution maps,dilation algorithm for noise reduction and filling,Camshift algorithm for iterative centroid position,and greedy prediction method for motion prediction strategy.This algorithm can track the target in realtime and accurately control its motion trajectory.