The hog and LBP features of positive and negative sample images are extracted to obtain pedestrian c
HOG-LBP-detection 行人检测hog+lbp LBP-detection 图像特征提取 HOG特征-matlab
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中文说明：
该程序分别提取正负样本图像的HOG和LBP特征，利用支持向量机进行样本训练，得到行人分类器。利用训练好的分类器进行检测，实验结果表明，该方法可以有效检测出图像中的行人，并达到了较好的检测结果。
English Description：
The program extracts hog and LBP features of positive and negative sample images respectively, and uses support vector machine for sample training to get pedestrian classifier. The experimental results show that the method can effectively detect pedestrians in the image and achieve good detection results.
HOG-LBP detection
.................\compareAll.m
.................\Demotest.m
.................\Demotrain.m
.................\hogcalculator.m
.................\hogfeat.m
.................\HOGGradient.m
.................\HOGSVM1.m
.................\HOG_LBP.m
.................\HOG_LBPSVM1.m
.................\LBP.m
.................\lbp_com.m
.................\location.m
.................\main.m
.................\make.m
.................\max_per5.m
.................\realdetection.m
.................\rectangleonimage.m
.................\SVM2.m
.................\test.m
.................\winslide.m