Description: This is an SVM classifier, when pedestrian detection can be used to classify the training sample, and then directly call MATLAB
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File list (Check if you may need any files):
libsvm
......\libsvm3.1
......\.........\libsvm-3.1-[FarutoUltimate3.1Mcode]
......\.........\...................................\COPYRIGHT
......\.........\...................................\FAQ.html
......\.........\...................................\heart_scale
......\.........\...................................\java
......\.........\...................................\....\libsvm
......\.........\...................................\....\libsvm.jar
......\.........\...................................\....\......\svm.java
......\.........\...................................\....\......\svm.m4
......\.........\...................................\....\......\svm_model.java
......\.........\...................................\....\......\svm_node.java
......\.........\...................................\....\......\svm_parameter.java
......\.........\...................................\....\......\svm_print_interface.java
......\.........\...................................\....\......\svm_problem.java
......\.........\...................................\....\Makefile
......\.........\...................................\....\svm_predict.java
......\.........\...................................\....\svm_scale.java
......\.........\...................................\....\svm_toy.java
......\.........\...................................\....\svm_train.java
......\.........\...................................\....\test_applet.html
......\.........\...................................\Makefile
......\.........\...................................\Makefile.win
......\.........\...................................\matlab
......\.........\...................................\matlab-implement[by faruto]
......\.........\...................................\...........................\a_template_flow_usingSVM_class.m
......\.........\...................................\...........................\a_template_flow_usingSVM_regress.m
......\.........\...................................\...........................\ClassResult.m
......\.........\...................................\...........................\ClassResult_test.m
......\.........\...................................\...........................\gaSVMcgForClass.m
......\.........\...................................\...........................\gaSVMcgForRegress.m
......\.........\...................................\...........................\gaSVMcgpForRegress.m
......\.........\...................................\...........................\libsvm参数说明.txt
......\.........\...................................\...........................\myprivate
......\.........\...................................\...........................\.........\gatbx[Sheffield]
......\.........\...................................\...........................\.........\................\bs2rv.m
......\.........\...................................\...........................\.........\................\contents.m
......\.........\...................................\...........................\.........\................\crtbase.m
......\.........\...................................\...........................\.........\................\crtbp.m
......\.........\...................................\...........................\.........\................\crtrp.m
......\.........\...................................\...........................\.........\................\migrate.m
......\.........\...................................\...........................\.........\................\mpga.m
......\.........\...................................\...........................\.........\................\mut.m
......\.........\...................................\...........................\.........\................\mutate.m
......\.........\...................................\...........................\.........\................\mutbga.m
......\.........\...................................\...........................\.........\................\mytest
......\.........\...................................\.........
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