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Description: 基于hog人体识别的很好的文章，既有基于adaboost的又有svm的分类器。-Hog human identification based on a very good article, both based on the AdaBoost and the SVM classifier.
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Author: 孙兆辉 |
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Description: phog算法的matlab实现，hog特征用于对象识别，比如人脸识别、人体识别。-phog algorithm matlab achieve, hog characteristics for object recognition, such as face recognition, human identification.
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Size: 17408 |
Author: luandayong |
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Description: Hog try I try to implement hog descriptor
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Size: 1330176 |
Author: RidvanDongelci |
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Description: 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
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Author: liurui |
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Description: Opencv HOG (Histogram of Orientation Gradient) training based on Dalal method.
When you try to use Opencv HOG, you may not know how the training of the SVM model is done. Here is the example
Linux with Opencv2.1
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Author: szproxy |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition
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Author: 张数 |
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Description: Matlab HOG exercise matlab svm learning
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Author: kirill |
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Description: 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 acted as the classifier,and the experiment suggests that the method can better deal with human detection.
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Size: 14336 |
Author: 邵文 |
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Description: 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms, and two and a support vector machine decision tree classification algorithm of moving objects.
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Author: piano |
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Description: HOG特征行人检测 SVM支持向量机 分类-HOG feature pedestrian detection SVM support vector machine classification
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Size: 2639872 |
Author: gege |
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Description: 基于opencv实现利用HOG+SVM进行物体分类-Classification of objects using HOG+SVM based on OpenCV
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Size: 6083584 |
Author: 李永佳 |
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Description: HOG+SVM对于正负样本训练过程，根据样本生产对应的支持向量机，便于人体检测-HOG，SVM train samples，support Vector
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Size: 8192 |
Author: 孙旭光 |
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Description: matlab实现hog+svm图像二分类(Matlab implementation of hog and svm images two categories)
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Size: 911360 |
Author: hero2015
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Description: hog+svm的Demo，实测可以运行，搭配INRIA图片集准确率为0.96.
不足：直接把图片缩小为64*128来检测，window的滑动没有。(the demo of HOG+SVM, could run,;
not enough: it resize image to 64*128. the window have no slide.)
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Size: 512000 |
Author: 赤子
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Description: 通过HOG获取特征，用SVM对图像进行分类。(The feature is acquired by HOG, and the image is classified by SVM.)
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Author: 朋至远方
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Description: 使用HOG提取特征，SVM进行图像分类，可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
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Author: yangyang123 |
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Description: 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征是一种在计算机视觉和图像处理中用来进行物体检测的特征描述子。它通过计算和统计图像局部区域的梯度方向直方图来构成特征。Hog特征结合SVM分类器已经被广泛应用于图像识别中，尤其在行人检测中获得了极大的成功。需要提醒的是，HOG+SVM进行行人检测的方法是法国研究人员Dalal在2005的CVPR上提出的，而如今虽然有很多行人检测算法不断提出，但基本都是以HOG+SVM的思路为主(The Histogram of Oriented Gradient (HOG) feature is a feature descriptor for object detection in computer vision and image processing. It constructs features by computing and counting histograms of gradient directions in local regions of images. Hog features and SVM classifier have been widely used in image recognition, especially in pedestrian detection. It needs to be reminded that the method of pedestrian detection by HOG+SVM is proposed by French researcher Dalal on 2005 of CVPR, and although many pedestrian detection algorithms are constantly proposed, it is mainly based on the idea of HOG+SVM.)
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Author: 赵阿敏 |
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Description: 基于hog特征的svm的图像分类识别，matlab程序(Image classification and recognition based on hog-svm)
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Author: fire008 |
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Description: 利用传统的SVM-HOG算法，进行行人检测(HOG-SVM algorithm for pedestrian detection)
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Author: ammrdoudou |
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Description: 行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)
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Size: 9630720 |
Author: 子夜o星空 |
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