Analysis of Motion Target Tracking and Control Algorithms for Complex Environments
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 real-time and accurately control its motion trajectory.
万方数据
维普
