搜索资源列表
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
- HOG特征的实现方案，用于人脸识别，已经被opencv采用-the feature of HOG
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
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
245237271lbp_matlab
- lbp 源码详细讲解了lbp的过程，值得一看-lbp his code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable Classifier-Fusion Schemes: An Application To
Image_Feature
- 图像特征提取代码，包括LBP、HOG、Haar、Zernike矩、Hu矩特征，.h文件有如何调用的说明。-LBP feature、HOG feature、Haar feature、Moment feature
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.
feature-extraction-master
- 特征提取工具包，包含color、gist、hog、sift、lbp、ssim等特征，比较好用-Feature extraction toolbox containing color, gist, hog, sift, lbp, ssim features, relatively easy to use
Image_Feature
- 图像特征的提取，包括HOG特征和LBP特征。-image feature extraction
bishe
- 提取图像的GIST特征，LBP,HOG,RGB四组特征值(Extracting GIST features of images, LBP, HOG, RGB four sets of eigenvalues)
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)
computer_vision-master
- 图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)
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