Moving target detection combined two frame differences with template matching methods under dynamic background
Mingyi He · Electronic Design Engineering · 2012
A moving target detection algorithm is presented which combined frames difference with template matching methods based on Graphic Processing Unit(GPU).The method firstly utilizes CUDA-sift(a fast SIFT algorithm based on Compute Unified Device) algorithm to extract feature point of the matching image.Then,Random Sample Consensus(RANSAC) is optimized to remove the false matching points due to the part of the moving target.Put frames difference method under static background into dynamic setting using backdrop compensation method.Achieved the moving target detection method under dynamic background,extracting the feature of target to process character mating with the follow-up graphic finally realize automatic target detection.Experiments show that the method has favorable result of target detection for small moving target,little noise,some occlusion of image sequence.