搜索资源列表
HOG-LBP-detection
- 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。-A novel approach based on combining Histogram of oriented gradients (HOG) and LocalBinary Pattern(LBP) is suggested in the program.Also liner SVM is acte
An-HOG-LBP-Human-Detector
- 一种基于HOG-LBP特征的人脸检测方法，对于遮挡的人体非常有效。-By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we pro- pose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors
HOG
- HOG的详细介绍和源代码，以及附带详细PPT介绍，对学习HOG很有帮助-HOG detailed descr iption and source code, and the PPT with detailed descr iption, very helpful in learning HOG
Hog(1)_MatlabCode_20090408
- HoG matlab，内含HOG算法基本代码-HoG matlab code
hog
- HOG特征的实现方案，用于人脸识别，已经被opencv采用-the feature of HOG
HOG-LBP-detection
- matlab 实现的hog和lbp 结合的行人检测-matlab hog-lbp detection
objectdet20070707
- cvpr07年 对象检测代码 hog+svm，压缩包里含有行人，车辆等分类器，可以直接检测-cvpr07 on object identification code hog+ svm, compression bag with pedestrians, vehicles and other classifiers
adaboost-train-test
- 级联分类器学习，训练，测试过程 选择了HOG特征和LBP特征-adaboost train learn test hog feature lbp feature
HOG-LBPPdetection
- HOG-LBP+detection 行人检测-HOG-LBP+detection Pedestrian Detection
fast-additive-svms.tar
- 基于HOG+LBP+HIKSVM的行人检测算法matlab代码实现，里面包含了libsvm-mat-3.0-1软件包.-the algorithm implementation of pedestrian detection based on the dates+ LBP+ HIKSVM，it contains the libsvm-mat-3.0-1 package
feature
- 应用MATLAB编写的关于lbp与hog特征的提取代码，可直接应用-Applications written in MATLAB and hog on lbp feature extraction code, can be applied directly
pedestrian-detectionsvms.tar
- Hog + LBP + svm 行人检测-Hog+ LBP+ svm pedestrian detection
hogPlbpPsvm
- 该代码是通过opencv来实现结合hog和lbp特征，通过支持向量机来进行分类决策时实现行人的检测代码，有兴趣的同学可以下载参考下！-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 in
vlfeat-0.9.20-bin
- 特征提取的工具包，实现各种特征，如hog,lbp,sift.-Feature extraction kit achieve a variety of features, such as hog, lbp, sift.
HoG-and-HoG-LBP
- 行人检测中的HoG和HoG-LBP算法的对比试验。-Pedestrian Detection comparative test HoG and HoG-LBP algorithm.
INRIAHogLbpLabel
- 本方法是hog+lbp+svm来判断是否为行人，函数库为opencv，代码为C++，hog是opencv自带的，lbp为均匀模式，59维度，训练样本为INRIA数据集-opencv lbp svm president detection inria data
HOG-LBP detection
- 检测lbp+hog特征，MATLAB代码，用于特征识别和检测(Detect lbp+hog features)
HOG_LBP
- 融合hog与lbp特征的图像分类，使用svm进行分类，最终给出运行混淆矩阵(The image classification of hog and LBP features is classified by SVM, and the run obfuscation matrix is finally given.)
图像识别代码集
- HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method