基于帧差法多目标跟踪Matlab代码

代码说明：

  非常完整的帧差法多目标跟踪Matlab代码，并提供了完整的文档介绍，非常适合初学者学习。注：运行时要改一下文件路径，以及把视频文件转成图像序列输入。(Very complete frame difference method, multi-target tracking Matlab code, and provides a complete documentation, very suitable for beginners to learn. Note: at run time, you change the file path, and the video file is converted to an image sequence)

文件列表：

vlfeat-0.9.18\.gitattributes
vlfeat-0.9.18\.gitignore
vlfeat-0.9.18\apps\phow_caltech101.m
vlfeat-0.9.18\apps\recognition\encodeImage.m
vlfeat-0.9.18\apps\recognition\experiments.m
vlfeat-0.9.18\apps\recognition\extendDescriptorsWithGeometry.m
vlfeat-0.9.18\apps\recognition\getDenseSIFT.m
vlfeat-0.9.18\apps\recognition\readImage.m
vlfeat-0.9.18\apps\recognition\setupCaltech256.m
vlfeat-0.9.18\apps\recognition\setupFMD.m
vlfeat-0.9.18\apps\recognition\setupGeneric.m
vlfeat-0.9.18\apps\recognition\setupScene67.m
vlfeat-0.9.18\apps\recognition\setupVoc.m
vlfeat-0.9.18\apps\recognition\trainEncoder.m
vlfeat-0.9.18\apps\recognition\traintest.m
vlfeat-0.9.18\apps\sift_mosaic.m
vlfeat-0.9.18\bin\glnx86\aib
vlfeat-0.9.18\bin\glnx86\libvl.so
vlfeat-0.9.18\bin\glnx86\mser
vlfeat-0.9.18\bin\glnx86\sift
vlfeat-0.9.18\bin\glnx86\test_gauss_elimination
vlfeat-0.9.18\bin\glnx86\test_getopt_long
vlfeat-0.9.18\bin\glnx86\test_gmm
vlfeat-0.9.18\bin\glnx86\test_heap-def
vlfeat-0.9.18\bin\glnx86\test_host
vlfeat-0.9.18\bin\glnx86\test_imopv
vlfeat-0.9.18\bin\glnx86\test_kmeans
vlfeat-0.9.18\bin\glnx86\test_liop
vlfeat-0.9.18\bin\glnx86\test_mathop
vlfeat-0.9.18\bin\glnx86\test_mathop_abs
vlfeat-0.9.18\bin\glnx86\test_nan
vlfeat-0.9.18\bin\glnx86\test_qsort-def
vlfeat-0.9.18\bin\glnx86\test_rand
vlfeat-0.9.18\bin\glnx86\test_sqrti
vlfeat-0.9.18\bin\glnx86\test_stringop
vlfeat-0.9.18\bin\glnx86\test_svd2
vlfeat-0.9.18\bin\glnx86\test_threads
vlfeat-0.9.18\bin\glnx86\test_vec_comp
vlfeat-0.9.18\bin\glnxa64\aib
vlfeat-0.9.18\bin\glnxa64\libvl.so
vlfeat-0.9.18\bin\glnxa64\mser
vlfeat-0.9.18\bin\glnxa64\sift
vlfeat-0.9.18\bin\glnxa64\test_gauss_elimination
vlfeat-0.9.18\bin\glnxa64\test_getopt_long
vlfeat-0.9.18\bin\glnxa64\test_gmm
vlfeat-0.9.18\bin\glnxa64\test_heap-def
vlfeat-0.9.18\bin\glnxa64\test_host
vlfeat-0.9.18\bin\glnxa64\test_imopv
vlfeat-0.9.18\bin\glnxa64\test_kmeans
vlfeat-0.9.18\bin\glnxa64\test_liop
vlfeat-0.9.18\bin\glnxa64\test_mathop
vlfeat-0.9.18\bin\glnxa64\test_mathop_abs
vlfeat-0.9.18\bin\glnxa64\test_nan
vlfeat-0.9.18\bin\glnxa64\test_qsort-def
vlfeat-0.9.18\bin\glnxa64\test_rand
vlfeat-0.9.18\bin\glnxa64\test_sqrti
vlfeat-0.9.18\bin\glnxa64\test_stringop
vlfeat-0.9.18\bin\glnxa64\test_svd2
vlfeat-0.9.18\bin\glnxa64\test_threads
vlfeat-0.9.18\bin\glnxa64\test_vec_comp
vlfeat-0.9.18\bin\maci\aib
vlfeat-0.9.18\bin\maci\libvl.dylib
vlfeat-0.9.18\bin\maci\mser
vlfeat-0.9.18\bin\maci\sift
vlfeat-0.9.18\bin\maci\test_gauss_elimination
vlfeat-0.9.18\bin\maci\test_getopt_long
vlfeat-0.9.18\bin\maci\test_gmm
vlfeat-0.9.18\bin\maci\test_heap-def
vlfeat-0.9.18\bin\maci\test_host
vlfeat-0.9.18\bin\maci\test_imopv
vlfeat-0.9.18\bin\maci\test_kmeans
vlfeat-0.9.18\bin\maci\test_liop
vlfeat-0.9.18\bin\maci\test_mathop
vlfeat-0.9.18\bin\maci\test_mathop_abs
vlfeat-0.9.18\bin\maci\test_nan
vlfeat-0.9.18\bin\maci\test_qsort-def
vlfeat-0.9.18\bin\maci\test_rand
vlfeat-0.9.18\bin\maci\test_sqrti
vlfeat-0.9.18\bin\maci\test_stringop
vlfeat-0.9.18\bin\maci\test_svd2
vlfeat-0.9.18\bin\maci\test_threads
vlfeat-0.9.18\bin\maci\test_vec_comp
vlfeat-0.9.18\bin\maci64\aib
vlfeat-0.9.18\bin\maci64\libvl.dylib
vlfeat-0.9.18\bin\maci64\mser
vlfeat-0.9.18\bin\maci64\sift
vlfeat-0.9.18\bin\maci64\test_gauss_elimination
vlfeat-0.9.18\bin\maci64\test_getopt_long
vlfeat-0.9.18\bin\maci64\test_gmm
vlfeat-0.9.18\bin\maci64\test_heap-def
vlfeat-0.9.18\bin\maci64\test_host
vlfeat-0.9.18\bin\maci64\test_imopv
vlfeat-0.9.18\bin\maci64\test_kmeans
vlfeat-0.9.18\bin\maci64\test_liop
vlfeat-0.9.18\bin\maci64\test_mathop
vlfeat-0.9.18\bin\maci64\test_mathop_abs
vlfeat-0.9.18\bin\maci64\test_nan
vlfeat-0.9.18\bin\maci64\test_qsort-def
vlfeat-0.9.18\bin\maci64\test_rand
vlfeat-0.9.18\bin\maci64\test_sqrti