基于分层匹配的自适应跟踪算法

A Correlation-based Layered Matching and Target Tracking Method

提出了1种基于相关的区域分层匹配和模板自适应更新的目标跟踪方法,该方法能在序列图像中自适应地寻找最佳的动态阈值与更新模板,同时区域分层快速搜索能较大地提高匹配速度。算法在MATLAB软件环境下进行了仿真实验。实验结果表明该方法匹配精度高、匹配速度快,在背景亮度、对比度发生变化以及存在水面杂波干扰的情况下,表现出良好的稳定性,具有较强的实用价值。

To adaptively search the optimum dynamic threshold and update the template in image sequence,a target tracking method is developed.The correlation-based method consists of adaptive threshold region matching,layered-weighting in the matching region,and updating the templete adaptively.Experiment shows that the easier matching and higher matching accuracy are reached due to the smaller target matching region and more distinguished matching center obtained in the method.A region layer-based search algorithm is alsopresented.The fast matching speed with higher accuracy and the stronger noise resistant ability are obtained by the method in the different light intensity backgrounds.