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该程序分别提取正负样本图像的HOG和LBP特征，利用支持向量机进行样本训练，得到行人分类器。利用训练好的分类器进行检测，实验结果表明，该方法可以有效检测出图像中的行人，并达到了较好的检测结果。-A novel approach based on combining Histogram of oriented gradients (HOG) and LocalBinary Pattern(LBP) is suggested in the program.Also liner SVM is acte
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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
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基于HOG的行人检测，作者的源代码有错误，现代码已经进行了改变，并可以调试通-Histograms of Oriented Gradients for Human Detection, the writer s code has some errors, and I have correct the errors, and the code is right under C++ buidler
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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.
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鉴于目标的特征提取，一种采用HOG作为特征的行人检测方法-Histograms of Oriented Gradients for Human Detection
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Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients
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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
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HOG calculator, takes filename as input and calculates Histogram of oriented gradients from the input image.
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Histograms of Oriented Gradients for Human
Detection’ versus ’Fast Human Detection Using a
Cascade of Histograms of Oriented Gradients’-Histograms of Oriented Gradients for Human
Detection’ versus ’Fast Human Detection Using a
Cascade of Hist
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Histogram of oriented gradients 作者源码。 -Original Sourcecode of Histogram of Oriented Gradients
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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
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This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves com
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Very good paper for understaning Histograms of Oriented Gradients.
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Real-time Human Detection Using Histograms of Oriented Gradients on a GPU
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在阅读过2005年的HOG论文后写的梯度方向直方图的代码-I wrote the code of HOG after I read the paper which name was Histograms of Oriented Gradients published at CPRV05.
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提取图像方向梯度的直方图特征，image processing（图像处理）-HOG feature extraction
Descr iption
This program is used to extract HOG(Histograms of oriented gradients) features from images. The integral histogram is used for fast histogram extraction. Both APIs and b
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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
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We present a parallel implementation of a histogram-based particle filter for object tracking on smart
cameras based on SIMD processors. We specifically focus on parallel computation of the particle weights
and parallel construction of the featur
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Histogram of Oriented Gradients (HOG) are feature descr iptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method i
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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。-Histograms of Oriented Gradients
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