Description: HOG算法编译好的二进制文件。以及human detection的训练结果。-HOG algorithm compiled binary file. As well as the results of human detection training. Platform: |
Size: 1600512 |
Author:uglyboy |
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Description: hog算法进行人的检测，生成vector向量，即原始的数据。-hog human detection algorithm to generate a vector vector, that is, the original data. Platform: |
Size: 5186560 |
Author:xiehongtao |
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Description: 使用OPEN CV 完成行人偵測 內附圖片
實測效果-OPEN CV using the completion of the pedestrian detection measured the effect of inserting pictures Platform: |
Size: 3472384 |
Author:kld |
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Description: HoG人体检测实时系统的代码，可以快是检测行人的存在-Detection of real-time systems in human HoG code, you can quickly detect the presence of pedestrians Platform: |
Size: 1541120 |
Author:王刚 |
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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 |
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Description: 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 Platform: |
Size: 10591232 |
Author:李燕 |
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Description: 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 theory with histogramof oriented gradients
(HOG), we designed a new feature descriptor called
scale space histogram of oriented gradients (SS-HOG). SSHOG
focus on the multiple scale property of describe an
object. Using HOGs at multiple scale, SS-HOG encodes
more information to discriminate human bodies from other
object types than traditional uni-scale HOGs. Experiments
on INRIA person dataset demonstrate the effectiveness of
our method. Platform: |
Size: 142336 |
Author:谷川 |
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Description: 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 acted as the classifier,and the experiment suggests that the method can better deal with human detection. Platform: |
Size: 14336 |
Author:邵文 |
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Description: 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, i.e., global de-
tector for whole scanning windows and part detectors for
local regions, are learned from the training data using lin-
ear SVM. For each ambiguous scanning window, we con-
struct an occlusion likelihood map by using the response
of each block of the HOG feature to the global detector.
The occlusion likelihood map is then segmented by Mean-
shift approach. The segmented portion of the window with
a majority of negative response is inferred as an occluded
region. If partial occlusion is indicated with high likelihood
in a certain scanning window, part detectors are applied
on the unoccluded regions to achieve the fi nal classifi ca-
tion on the current scanning window. With the help of the
augmented HOG-LBP feature and the global-part occ Platform: |
Size: 3078144 |
Author:有来有去 |
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