An algorithm for moving target detection in dynamic background based on gray-weighted kernel function
A new detecting algorithm based on gray-weighted kernel function is proposed for the moving target detection (MTD) in dynamic series of image.This algorithm firstly realizes image sequence registration by using the biggest gradient point.Then divides the image into 32*32 sub-images.The moving target can be finally detected based on the changes of gray-weighted kernel function.The testing result shows that the algorithm can detect the moving target in real-time and can suppress the influence caused by image registration error and gray fluctuation effectively.
Moving Target Detection Gray-weighted Kernel Function Dynamic Background
WANG Lu-ping ZHANG lu-ping ZHAO ming
ATR Key Lab of National University of Defense Technology Changsha,410073 China
国际会议
郑州
英文
1554-1558
2013-10-19(万方平台首次上网日期,不代表论文的发表时间)