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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
- 图片分块，并计算任何一个区域的柱状分析 to obtain HOG features for a cell/block region of image pixels- to obtain HOG features for a cell/block region of image pixels
CreateFeatureBin
- 提取HOG特征，写入bin文件(源码) 5 提取HOG特征，写入bin文件(源码.Loadpos将info.dat（样本描述文件，开头是样本数量和大小，然后每一行代表一个样本，分别是图像文件名、目标个数....... -HOG feature extraction, write bin files (source code) 5 extracted HOG features, write bin files (source code. Loadpos will info.dat (sa
HumanDetection
- 使用HOG特征进行人体检测,接口简介，方便使用。-using HOG features to detect poeple in the image or the frame of vidoe.
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
hog3D
- HOG3D，三维情境下检测兴趣点的源码，HOG特征的论文可以很容易搜到-HOG3D, three situations of interest points detected source, HOG features can easily search to papers
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
DalalThesis
- the original Thises about HOG features
HOG
- 对一副图像进行特征提取，HOG特征的提取，这里有HOG特征的提取代码。-For a pair of image feature extraction, HOG feature extraction, here s a HOG features of the extracted code.
hog
- 这是基于Matlab的Hog特征提取函数-This is Hog Features programming for Matlab
程序
- 检测前景，提取HOG特征，建立数据库，计算梯度(Detecting foreground and extracting HOG features)
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_bp
- 利用直方图hog特征，在bp神经网络下的分类。(Classification of BP neural networks using histogram hog features.)
HoG (2)
- code to extract hog features
HOG
- hog features extraction
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
Lena图的HOG特征
- 提取灰度图的hog特征，非常好用，我用Lena图的(Extracting hog features of grayscale is very useful. I use Lena diagram.)
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-descriptor-master
- 提取HOG特征，简洁好用，使用方便，大家可以下载使用，使用matlab实现(Extraction of HOG features)