Pedestrian Detection with matla achieved, the use of hog+ adaboost the method, enclosing the program is running a lot of training and testing images

HOG+adaboost行人检测
....................\HOG adaboost行人检测
....................\....................\@crossvalidation
....................\....................\................\CatFold.m
....................\....................\................\crossvalidation.m
....................\....................\................\GetFold.m
....................\....................\................\Initialize.asv
....................\....................\................\Initialize.m
....................\....................\@tree_node_w
....................\....................\............\calc_output.asv
....................\....................\............\calc_output.m
....................\....................\............\do_learn_nu.asv
....................\....................\............\do_learn_nu.m
....................\....................\............\get_dim_and_tr.asv
....................\....................\............\get_dim_and_tr.m
....................\....................\............\train.asv
....................\....................\............\train.m
....................\....................\............\tree_node_w.m
....................\....................\BinHOGFeature.m
....................\....................\Classify.m
....................\....................\GentleAdaBoost.m
....................\....................\HOGGradient.m
....................\....................\ImgHOGFeature.m
....................\....................\ImgHOGFeature3.m
....................\....................\mydat.mat
....................\....................\neg
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