Improved fast correlation tracking algorithm
一种改进的快速相关跟踪算法

A correlation tracking algorithm named Minimum Far Distance(MFD) was proposed to improve the existing Maximum Close Distance(MCD) algorithm.By monotonically decreasing the upper limit of summation,MFD can quickly terminate accumulating on the non-matching points,and finally reduce the total calculation.In order to deal with the template drift problem of MCD,MFD adjusts the pixel close threshold dynamically,and uses another correlation method to filter from multiple matching points that may be exist.As a result,MFD suppresses template drift remarkably,while preserves the virtues of MCD such as standing against noise and partial occlusion.The algorithm also combines correlation matching with the control characteristic of servo system,selects the matching area more reasonably,and thus enables a faster servo control speed.