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Histograms-of-Oriented-Gradients
- HOG descr iptors 是应用在计算机视觉和图像处理领域，用于目标检测的特征描述器。-HOG descr iptors are used in computer vision and image processing for target detection feature descr iptor.
hog
- Hog try I try to implement hog descr iptor
Scale_Space_Histogram_of_Oriented__Gradients_for_H
- 本文运用尺度空间理论检测人体，通过集成 面向梯度与histogramof尺度空间理论 -Human detection is the task of finding presence and position of human beings in images. In this paper, we apply scale space theory to detecting human in still images. By integrating scale space
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
HOG
- 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叉决策树支持向量机的运动目标分类算法．利用背景减法提取运动目标前景区域， 并识别出潜在候选运动目标．利 用提出的基于聚类的核主成分分析的梯度直方图描述子提取候选运动目标的特征， 以较低维数的数据有效地描述运动目标的有效特征． 将提取的运动目标特征输入二叉决策树支持向量机， 实现多类目标的准确分类． 通过在不同视频序列上的实验验证， 提出的算法对运动目标进行较好地分类， 而且在运算速度方面较传
hog
- 分成不同的class以用來計算hog descr iptor-hog calculation
HOG-SVM
- it s HoG descr iptor, the writer code has some errors, and I have correct the errors, and the code is right under C+-it s HoG descr iptor, the writer code has some errors, and I have correct the errors, and the code is right under C+
HOG_linux.tar
- Hog descr iptor for image analysis
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
- This HOG descr iptor source code.-This is HOG descr iptor source code.
efficientLBP
- efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found
hog
- HOG 特征描述子，用于行人检测以及目标跟踪,生成特征描述子，用于分类或后续的处理-Feature descr iptor HOG
hog
- 下面的代码是实现HOG（附柱状图导向梯度） 描述符和目标检测，通过那伏乃尔达拉尔和比尔Triggs介绍。 所计算的特征向量是与兼容 INRIA目标检测与定位工具包 （http://pasca
hog
- 方向梯度直方图（Histogram of Oriented Gradient, HOG）特征,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的实现-Histogram of oriented gradients (Histogram of Oriented Gradient, HOG) characteristics, computer vision and image processing used for object detection feature descr iptor real
trainHOG-master
- Read positive and negative training sample image files specified directories Calculate their HOG features and keep track of their classes (pos, neg) Save the feature map (vector of vectors/matrix) to file system Read in and pass the features an
HOG-descriptor-master
- 提取图像的HOG(梯度方向直方图)特征描述符-abstract the HOG feature of images
gistdescriptor
- Example of a souce code of hog descr iptor.
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-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)