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Description: hog算法进行人的检测，生成vector向量，即原始的数据。-hog human detection algorithm to generate a vector vector, that is, the original data.
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Author: xiehongtao |
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Description: 使用OPEN CV 完成行人偵測 內附圖片
實測效果-OPEN CV using the completion of the pedestrian detection measured the effect of inserting pictures
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Author: kld |
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Description: 行人检测源程序，居于svm技术。和梯度直方图提取-Pedestrian Detection source, living in SVM technology. And gradient histogram extraction
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Size: 1651712 |
Author: 李可 |
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Description: 基于OPENCV的静止图像的HOG特征提取算法的全部程序，完全可用于各种图像的HOG特征提取，以进一步训练分类器进行行人检测-source code that apply to the pedestrian detection based on OPENCV.this document can help you extract HOG features from any type image which include human in it
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Author: lightblueboy |
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Description: Adaboost算法的行人检测，这是一篇硕士学位论文-Adaboost algorithm of pedestrian detection, which is a master' s degree thesis
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Author: jencolTang |
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Description: AbstractWe investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Triggs are the state-of-the-art for this task, and we base our method on this approach. We propose a novel eature
extracti on scheme which computes implicit ‘soft egmentations’ of image regions into oreground/background. The method yields tronger object/background edges than grayscale
gradient alone, suppresses textural and shading variations,and captures local coherence of object appearance.-AbstractWe investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Triggs are the state-of-the-art for this task, and we base our method on this approach. We propose a novel eature
extracti on scheme which computes implicit ‘soft egmentations’ of image regions into oreground/background. The method yields tronger object/background edges than grayscale
gradient alone, suppresses textural and shading variations,and captures local coherence of object appearance.
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Size: 54272 |
Author: Flavio58 |
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Description: 本文档包括了OpenCV2.2版（2010年12月推出，目前最新版）中所有API函数的说明，包括C、C++、Python中调用OpenCV的所有接口函数，是大家开发计算机视觉、图像处理、模式识别程序的好参考。OpenCV2.2提供了支持Visual Studio 2010的可执行版本，并且添加了HOG行人检测器，真是不可多得的好东西。-This document includes OpenCV2.2 edition (December 2010 launch, the latest version) a description of all API functions, including C, C++, Python OpenCV call all the interface functions, there is little development of computer vision, image processing, pattern a good reference for identification procedures. OpenCV2.2 supported executable version of Visual Studio 2010 and added the HOG pedestrian detector is really a rare good thing.
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Author: 吴 |
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Description: Image descriptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE
Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437. In
case of publication with this code, please cite the paper above.- Image descriptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE
Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437. In
case of publication with this code, please cite the paper above.
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Author: Arij |
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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: 利用HOG算法，实现对于批量图片中的行人检测-HOG algorithm used to achieve the picture for the volume of pedestrian detection
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Author: 房英明 |
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Description: The objective of this paper is to provide an overview of the current state of the art from both methodologicaland experimental perspectives. The first part of the paper consists of a survey. We cover the main components of a pedestrian detection system and the underlying models. The second (and larger) part of the paper contains a corresponding experimental study.
We consider a diverse set of state-of-the-art systems: wavelet-based AdaBoost cascade, HOG/linSVM, NN/LRF, and combined shape-texture detection. Experiments are performed on an extensive data set captured onboard a vehicle driving through urban environment.
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Author: linuszhao |
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Description: 该代码用于各种图像的HOG特征提取，以进一步训练分类器进行行人检测，不错的-HOG for a variety of image feature extraction, in order to further training classifier Pedestrian Detection
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Size: 4096 |
Author: lili |
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Description: 这是最简洁，注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。-This 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 Pedestrian Detection, In: 12th International IEEE Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437.
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Author: 袁宇 |
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Description: 一个简单的基于HOG的行人检测程序，MATLAB编写，其中read me文档解释的较为详细。-A simple HOG based pedestrian detection program, MATLAB write, read me the document which explains in some detail.
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Author: 夏宇 |
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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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Author: gege |
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Description: 利用hog特征向量进行行人检测opencv visual2010(入门)-Use hog feature vectors detect pedestrians opencv visual2010 (entry)
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Author: luolei |
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Description: 利用Hog特征和SVM分类器进行行人检测(Using Hog features and SVM classifiers for pedestrian detection)
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Author: Elena0806
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Description: 将这330个3780维的HOG特征当做测试样本，用支持向量机（SVM）分类器来判别出，这些窗口的HOG特征是否有行人，有行人的用矩形框标记起来。HOG行人特征及所对应的SVM分类器的参数，在opencv中已经训练好了，我们只需要得到HOG特征，然后调用SVM即可得到判别结果(The 330 Hera features of 3780 dimensions are used as test samples, and the support vector machine (SVM) classifier is used to determine whether the HOG features of these windows are pedestrians and pedestrians are marked with rectangles. HOG pedestrian characteristics and the corresponding SVM classifier parameters, in the opencv has been trained, we only need to get HOG characteristics, and then call SVM to get the results)
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Author: satchel
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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: 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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