Location:
Search - hog features
Search list
Description: 能够提取出图像I的HOG特征，返回其幅值，角度和在各个角度上的幅值。
是进行其他针对图像的HOG特征提取的前一步。-I can extract images of HOG features, return to their amplitude, angle and perspective in all of the amplitude. Is the other for image feature extraction HOG step forward.
Platform: |
Size: 1024 |
Author: 郑帅 |
Hits:
Description: 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
Platform: |
Size: 4096 |
Author: lightblueboy |
Hits:
Description: 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
Platform: |
Size: 1024 |
Author: Jerry |
Hits:
Description: 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 (sample description file begins with the number and size of the sample, and then each row represents a sample, namely, the image the file name, target number of .......
Platform: |
Size: 2823168 |
Author: 简宏伟 |
Hits:
Description: 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.
Platform: |
Size: 29696 |
Author: Hector |
Hits:
Description: 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 on this approach. We propose a novel eature
extracti on scheme which computes implicit ‘soft egmentations’ of image regions into oreground/background. The method yields tronger object/background edges than grayscale
gradient alone, suppresses textural and shading variations,and captures local coherence of object appearance.-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 on this approach. We propose a novel eature
extracti on scheme which computes implicit ‘soft egmentations’ of image regions into oreground/background. The method yields tronger object/background edges than grayscale
gradient alone, suppresses textural and shading variations,and captures local coherence of object appearance.
Platform: |
Size: 54272 |
Author: Flavio58 |
Hits:
Description: 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
Platform: |
Size: 1112064 |
Author: 牛虻 |
Hits:
Description: 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 Oriented Gradients, i.e. HOG, features. A K-mean clustering technique is used in a cascade of HOG feature classifiers to detect faces. The evaluation of the algorithm shows similar performance in terms of detection rate as state of the art algorithms. Moreover, unlike state of the art algorithms,our system can be quickly trained before detection is possible. Performance is considerably increased in terms of lower computational cost and lower false detection rate when combined with motion constraint given by moving objects in video sequences. The detected HOG features are integrated within a tracking framework and allow reliable face tracking results in several tested surveillance video sequences.
Platform: |
Size: 293888 |
Author: linuszhao |
Hits:
Description: the original Thises about HOG features
Platform: |
Size: 19506176 |
Author: Jim |
Hits:
Description: 能够有效实现HOG特征的提取，在实现过过程利用了积分图加快计算速度-extract HOG features
Platform: |
Size: 38912 |
Author: nipengyu |
Hits:
Description: 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。
-Histogram of Oriented Gradients (Histogram of Oriented Gradient, HOG) feature is a kind of computer vision and image processing used for object detection feature descriptor. It does this by calculating the image and statistical local areas to form a gradient orientation histogram features. Hog features combined with SVM classifier has been widely used in image recognition, especially in pedestrian detection was a great success. Need to be reminded, HOG+SVM for pedestrian detection method is to French researchers Dalal CVPR in 2005 raised, and now although there are many pedestrian detection algorithm continuously put forward, but the basic idea is to HOG+SVM based.
Platform: |
Size: 44032 |
Author: 王萌 |
Hits:
Description: 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.
Platform: |
Size: 149504 |
Author: 许依 |
Hits:
Description: 检测lbp+hog特征，MATLAB代码，用于特征识别和检测(Detect lbp+hog features)
Platform: |
Size: 13312 |
Author: steve_ustc
|
Hits:
Description: code to extract hog features
Platform: |
Size: 7168 |
Author: Eng.Fulla
|
Hits:
Description: hog features extraction
Platform: |
Size: 1024 |
Author: Eng.Fulla
|
Hits:
Description: 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)
Platform: |
Size: 59158528 |
Author: Elena0806
|
Hits:
Description: 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) classifier is used to determine whether the HOG features of these windows are pedestrians and pedestrians are marked with rectangles. HOG pedestrian characteristics and the corresponding SVM classifier parameters, in the opencv has been trained, we only need to get HOG characteristics, and then call SVM to get the results)
Platform: |
Size: 5207040 |
Author: satchel
|
Hits:
Description: 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.)
Platform: |
Size: 70656 |
Author: 霸气的小恐龙 |
Hits:
Description: 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 of Oriented Gradient (HOG) feature is a feature descriptor for object detection in computer vision and image processing. It constructs features by computing and counting histograms of gradient directions in local regions of images. Hog features and SVM classifier have been widely used in image recognition, especially in pedestrian detection. It needs to be reminded that the method of pedestrian detection by HOG+SVM is proposed by French researcher Dalal on 2005 of CVPR, and although many pedestrian detection algorithms are constantly proposed, it is mainly based on the idea of HOG+SVM.)
Platform: |
Size: 162816 |
Author: 赵阿敏 |
Hits:
Description: 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)
Platform: |
Size: 417792 |
Author: memeda9 |
Hits: