Correlation filters for target reacquisition in trackers

Abstract

A system and method for target reacquisition and aimpoint selection in missile trackers. At the start of iterations through the process, distance classifier correlation filters (DCCFs) memorize the target's signature on the first frame. This stored target signature is used in a subsequent confidence match test, so the current sub-frame target registration will be compared against the stored target registration from the first frame. If the result of the match test is true, a patch of image centered on the aimpoint is used to synthesize the sub-frame filter. A sub-frame patch (containing the target) of the present frame is selected to find the target in the next frame. A next frame search provides the location and characteristics of a peak in the next image, which indicates the target position. The DCCP shape matching processing registers the sub-frame to the lock coordinates in the next frame. This process will track most frames, and operation will repeat. However, when the similarity measure criterion is not satisfied, maximum average correlation height (MACH) filters update the aim-point and re-designate the track-point. Once the MACH filters are invoked, the process re-initializes with the new lock coordinates. The MACH filters have pre-stored images which are independent of target and scene data being processed by the system.