Description: The code is done by opencv combined with the feature of hog and LBP, by support vector machine (SVM) classification decisions to achieve the pedestrian detection code, students are interested can download the reference!
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hog+lbp+svm\._demo.m
...........\._libsvm-mat-3.0-1
...........\._make.m
...........\._mex_linear_interpolate.cc
...........\._mex_sample_weighted_int_kernel.cc
...........\._mex_sample_weighted_kernel.cc
...........\compute_approx_model.m
...........\demo.m
...........\libsvm-mat-3.0-1\._COPYRIGHT
...........\................\._heart_scale.mat
...........\................\._libsvmread.c
...........\................\._libsvmwrite.c
...........\................\._make.m
...........\................\._README
...........\................\._svm.cpp
...........\................\._svm.h
...........\................\._svmpredict.c
...........\................\._svmtrain.c
...........\................\._svm_model_matlab.c
...........\................\._svm_model_matlab.h
...........\................\COPYRIGHT
...........\................\heart_scale.mat
...........\................\libsvmread.c
...........\................\libsvmwrite.c
...........\................\make.m
...........\................\Makefile
...........\................\README
...........\................\svm.cpp
...........\................\svm.h
...........\................\svmpredict.c
...........\................\svmtrain.c
...........\................\svm_model_matlab.c
...........\................\svm_model_matlab.h
...........\make.m
...........\mex_linear_interpolate.cc
...........\mex_linear_interpolate.mexmaci
...........\mex_sample_weighted_int_kernel.cc
...........\mex_sample_weighted_int_kernel.mexmaci
...........\mex_sample_weighted_kernel.cc
...........\mex_sample_weighted_kernel.mexmaci
...........\README
...........\svmpredict_approx.m
...........\libsvm-mat-3.0-1
hog+lbp+svm
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