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
- 特征提取中，梯度方向直方图hog的几篇文章，研究HOG的同仁们很有用-Feature extraction, the gradient direction histogram hog several articles, research colleagues are useful 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
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
hog
- HOG特征的实现.INRIA cvpr2005论文实现-HOG feature implementation. INRIA cvpr2005 paper to achieve
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
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
- 这是修改之后的系统，主要用支持向量机SVM和水平方向梯度HOG特征进行特征目标识别分类-This is a system modifications, mainly with support vector machines SVM and horizontal direction gradient the HOG feature characteristic target recognition classification
hog
- hog特征提取，提取梯度直方图信息，为后续工作获取材料-hog feature extraction to extract gradient histogram information, and to obtain material for the follow-up work
HOG
- 根据Dalal提出的HOG特征算法编写，代码简单，注释清楚，根据所处理图像的名称路径修改后可生成36*105的特征向量。-The algorithm proposed by Dalal HOG feature writing code simple, clear annotation feature vector can generate 36* 105, modified according to the name of the image processing path.
HOG
- 图像HOG特征提取，切实可行，效率高，适合初学者学习使用。-Image HOG feature extraction, practical, high efficiency, suitable for beginners to learn to use.
etract-hog-feature
- 可以在matlab环境下对图像中的选定区域进行检测，并提取出其HOG特征，简单实用-it could extract the HOG feature of the figure
HOG
- 求取任意图片的HOG特征，一共提取360个梯度特征，可用于ADABoost，SVM中。(Seek the HOG feature of any picture)
hog
- hog特征提取，从原理上分析，最后生成一副特征图(Hog feature extraction, from the principle of analysis, the final generation of a feature graph)
hog.py.tar
- python提取HOG特征，80行代码实现HOG(extract hog feature for python)
HOG 代码.docx
- HOG 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(The Histogram of Oriented Gradient (HOG) feature is a feature descr iptor used for object detection in computer vision and image processing.)
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可视化
- HOG特征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，程序可以对图片中的hog特征进行可视化梯度大小和方向。(The HOG feature is constructed by calculating and counting the gradient direction histogram of the local area of the image. The program can visualize the gradient size and direction of the h
HOG
- 图像HOG特征提取的matlab程序，适用于图像处理应用(matlab codes for HOG feature selection of images, which can be useful for image processing applications)