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hog_extraction.rar
- 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
HOG
- 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
Pedestrian-Detection
- 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.
HOG
- 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
opencvHOG
- hog行人检测的算法，opcv实现的，注释中有函数功能介绍，对初学者很有帮助-hog pedestrian detection algorithm, opcv achieve the comment function Features, useful for beginners
cv_test
- 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
learcode
- 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
AdaboostHumanDetection
- 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
Acivs09Code
- 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
OpenCV2.2_API_Specification
- 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 versio
HOG
- Image descr iptor 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 De
Monocular-Pedestrian-Detection-__-survey-and-expe
- 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 syst
HOG
- 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
PedestrianDetectionHoG
- HOG特征行人检测 SVM支持向量机 分类-HOG feature pedestrian detection SVM support vector machine classification
HOG
- Image descr iptor 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 Detectio
HOG-pedestrian-detection-OpenCV
- 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)
利用Hog特征和SVM分类器进行行人检测
- 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)
HOG
- 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) classifi
hog-feature
- 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
HOG-SVM-classifer-master
- 利用传统的SVM-HOG算法，进行行人检测(HOG-SVM algorithm for pedestrian detection)