test3

代码说明：

  利用matlab实现hog特征提取与SVM分类方法 用来识别人车与背景(Using matlab nonlinear SVM classification feature extraction and HOG achieve background test vehicles)

文件列表：

hog%2Bsvm_detection
.................\BinHOGFeature.m,1135,2015-12-17
.................\hog2_test_car.mat,125245,2015-12-20
.................\hog2_test_man.mat,132458,2015-12-20
.................\hog2_train_car.mat,1270120,2015-12-20
.................\hog2_train_man.mat,1304010,2015-12-20
.................\hog_test_car.mat,143851,2015-12-20
.................\hog_test_man.mat,154600,2015-12-20
.................\hog_train_car.mat,1475285,2015-12-20
.................\hog_train_man.mat,1533815,2015-12-20
.................\ImgHOGFeature.m,1972,2015-12-17
.................\make_mat.m,2143,2015-12-20
.................\svm_recognition.asv,666,2015-12-21
.................\svm_recognition.m,670,2015-12-21
.................\svm_test.m,699,2015-12-18
.................\实验三样本
.................\..........\测试
.................\..........\....\人





.................\..........\....\..\5.png,8526,2015-11-23
.................\..........\....\..\6.png,9948,2015-11-23
.................\..........\....\..\7.png,7671,2015-11-23
.................\..........\....\..\8.png,8918,2015-11-23
.................\..........\....\..\9.png,8867,2015-11-23
.................\..........\....\背景





.................\..........\....\....\5.png,5053,2015-11-24
.................\..........\....\....\6.png,5312,2015-11-24
.................\..........\....\....\7.png,6327,2015-11-24
.................\..........\....\....\8.png,8666,2015-11-24
.................\..........\....\....\9.png,8545,2015-11-24
.................\..........\....\车





.................\..........\....\..\5.png,5491,2015-11-23
.................\..........\....\..\6.png,5598,2015-11-23
.................\..........\....\..\7.png,5807,2015-11-23
.................\..........\....\..\8.png,5340,2015-11-23
.................\..........\....\..\9.png,6596,2015-11-23
.................\..........\训练
.................\..........\....\人





.................\..........\....\..\13.png,6695,2015-11-23
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.................\..........\....\..\15.png,8007,2015-11-23
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.................\..........\....\..\19.png,8505,2015-11-23
.................\..........\....\..\2.png,7933,2015-11-23
.................\..........\....\..\20.png,8010,2015-11-23
.................\..........\....\..\21.png,8526,2015-11-23
.................\..........\....\..\22.png,8526,2015-11-23
.................\..........\....\..\23.png,7818,2015-11-23
.................\..........\....\..\24.png,9289,2015-11-23
.................\..........\....\..\25.png,8519,2015-11-23
.................\..........\....\..\26.png,8519,2015-11-23
.................\..........\....\..\27.png,8519,2015-11-23
.................\..........\....\..\28.png,8445,2015-11-23
.................\..........\....\..\29.png,8819,2015-11-23
.................\..........\....\..\3.png,7387,2015-11-23
.................\..........\....\..\30.png,8799,2015-11-23
.................\..........\....\..\31.png,8681,2015-11-23
.................\..........\....\..\32.png,9179,2015-11-23
.................\..........\....\..\33.png,6644,2015-11-23
.................\..........\....\..\34.png,8923,2015-11-23
.................\..........\....\..\35.png,7294,2015-11-23
.................\..........\....\..\36.png,8708,2015-11-23
.................\..........\....\..\37.png,8067,2015-11-23
.................\..........\....\..\38.png,7825,2015-11-23
.................\..........\....\..\39.png,7567,2015-11-23
.................\..........\....\..\4.png,8697,2015-11-23
.................\..........\....\..\40.png,7404,2015-11-23
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.................\..........\....\..\42.png,7790,2015-11-23
.................\..........\....\..\43.png,8647,2015-11-23
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.................\..........\....\..\49.png,7440,2015-11-23
.................\..........\....\..\5.png,8409,2015-11-23
.................\..........\....\..\50.png,5855,2015-11-23
.................\..........\....\..\51.png,5466,2015-11-23