搜索资源列表
Hog Puncher
- 用java编写的applet游戏-with java applet prepared by the game
OLTbinaries
- HOG算法编译好的二进制文件。以及human detection的训练结果。
hogvec
- hog算法进行人的检测,生成vector向量,即原始的数据。
phog
- phog算法的matlab实现,hog特征用于对象识别,比如人脸识别、人体识别。
hog people
- vc实现行人的检测
Hog Puncher
- 用java编写的applet游戏-with java applet prepared by the game
人头检测matlab代码
- 可以打开视频文件,对视频文件中的人头进行检测并统计数量。算法有HOG RCNN 及Aggrate Channel Features三种(You can open the video file, the head of the video file to detect and statistics. Algorithm HOG RCNN Aggrate Channel Features tionchannel three)
SVM
- 使用HOG提取特征,SVM进行图像分类,可以进行两种以上分类(Using HOG to extract features and SVM for image classification)
新建文件夹
- 在vs平台利用OpenCV提取图像hog特征值源代码(Using OpenCV to extract the hog eigenvalue source code on the VS platform)
HOG_LBP
- 融合hog与lbp特征的图像分类,使用svm进行分类,最终给出运行混淆矩阵(The image classification of hog and LBP features is classified by SVM, and the run obfuscation matrix is finally given.)
ning
- 用MATLAB实现基于hog的行人检测中的求hog特征(Hog features for pedestrian detection)
HOGSVM
- 输入训练样本集和测试样本集,通过提取HOG然后用SVM实现分类。(Input training samples and test samples, extract HOG and implement classification with SVM.)
fenlei
- 利用hog提取特征输入到svm分类器中,适用于新手(Using hog extraction feature input to svm classifier, suitable for novices)
svm
- 基于hog特征的svm的图像分类识别,matlab程序(Image classification and recognition based on hog-svm)
HOG+SVM进行图片中行人检测
- 行人检测HOG+SVM进行图片中行人检测,提供训练用的pos和neg样本,效果还可以;没有SVM工具箱的,压缩包里已经提供了,安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolb
图像识别代码集
- HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)
faceDetection_HOG
- 利用HOG算子实现电脑读取图像并进行面部识别与检测(Using hog operator to realize computer reading image and face recognition and detection)