Title:
The-infrared-target-detection-method
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Description: This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways to achieve infrared target detection capabilities, code detection understand for beginners learn a lot ~
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File list (Check if you may need any files):
毕设程序
........\Background-subtraction
........\......................\Background.jpg
........\......................\Read me.txt
........\......................\SampleVideo.avi
........\......................\Video.avi
........\......................\fln.jpg
........\......................\html
........\......................\....\tracking3.html
........\......................\mixture_of_gaussians.asv
........\......................\mixture_of_gaussians.m
........\......................\mixture_of_gaussians_output.avi
........\......................\run.asv
........\......................\run.m
........\......................\test3.avi
........\......................\test5.avi
........\......................\tracking.asv
........\......................\tracking.m
........\......................\tracking2.asv
........\......................\tracking2.m
........\......................\tracking3.asv
........\......................\tracking3.m
........\Frame-difference
........\................\1.jpg
........\................\2.jpg
........\................\3.jpg
........\................\4.jpg
........\................\5.jpg
........\................\6.jpg
........\................\Lai.asv
........\................\MovingDetect.m
........\................\Whl.m
........\................\approximate_median.m
........\................\avitopictures.m
........\................\framedifference.asv
........\................\framedifference.m
........\................\m1.jpg
........\................\m2.jpg
........\................\picturestoavi.m
........\................\test25.avi
........\................\test3.avi
........\................\test5.avi
........\................\track.avi
........\................\two_picture_1.asv
........\MATLAB图像处理相关函数.docx
........\Mixture of gaussians
........\....................\10bmpfile.bmp
........\....................\11bmpfile.bmp
........\....................\12bmpfile.bmp
........\....................\13bmpfile.bmp
........\....................\14bmpfile.bmp
........\....................\15bmpfile.bmp
........\....................\16bmpfile.bmp
........\....................\17bmpfile.bmp
........\....................\18bmpfile.bmp
........\....................\19bmpfile.bmp
........\....................\1bmpfile.bmp
........\....................\20bmpfile.bmp
........\....................\21bmpfile.bmp
........\....................\22bmpfile.bmp
........\....................\23bmpfile.bmp
........\....................\2bmpfile.bmp
........\....................\3bmpfile.bmp
........\....................\4bmpfile.bmp
........\....................\5bmpfile.bmp
........\....................\6bmpfile.bmp
........\....................\7bmpfile.bmp
........\....................\8bmpfile.bmp
........\....................\9bmpfile.bmp
........\....................\FG.bmp
........\....................\gau_pic23.jpg
........\....................\gaussians.asv
........\....................\gaussians.m
........\....................\检测结果
........\....................\........\10back.bmp
........\....................\........\10fore.bmp
........\....................\........\10input.bmp
........\....................\........\11back.bmp
........\....................\........\11fore.bmp
........\....................\........\11input.bmp
........\....................\........\12back.bmp
........\....................\........\12fore.bmp
........\....................\........\12input.bmp
........\....................\........\13back.bmp
........\....................\........\13fore.bmp
........\....................\........\13input.bmp
........\....................\........\14back.bmp
........\....................\........\14fore.bmp
........\....................\........\14input.bmp
........\....................\........\15back.bmp
........\....................\........\15fore.bmp
........\....................\........\15input.bmp
........\....................\........\16back.bmp
........\....................\........\16fore.bmp
........\....................\........\16input.bmp
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