搜索资源列表
hog
- 使用C++计算图像的梯度直方图，提取图像的梯度特征，用于后期的应用-Using C++ to calculate the image gradient histogram, extract the image gradient feature for late applications
QuickHOG
- 源代码可以运行，用于提取hog特征作为行人检测，另外在速度上进行了改进-The source code can run, used to extract the hog characterized as pedestrian detection, another improvement in the speed
HOG
- vs2010+opencv的HOG的特征向量提取-HOG feature vector extraction
car-HOG1
- 这是SVM+HOG特征训练的路面卡口车辆的检测与识别。本程序识别率达到90 。-This is SVM+HOG feature bayonet training road vehicle detection and recognition. The program recognizes the rate of 90 .
hog
- 这是用于提取图片的hog特征的，是在VS环境下配置opencv库实现的，希望对你有用-This is the picture of the hog for extracting feature is the VS environment configuration opencv library to achieve, and I hope useful to you
hogPsvm
- HOG特征点的提取并使用SVM分类器训练样本予以分类（样本尺寸可以不一）-HOG feature point extraction and SVM classifier using training samples to be classified (sample size may vary)
HOG_OpenCV
- HOG即histogram of oriented gradient, 是用于目标检测的特征描述子，该技术将图像局部出现的方向梯度次数进行计数，该方法和边缘方向直方图、scale-invariant feature transform类似，不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG，用于静态图像or视频的行人检测。-HOG i.e. histogram of oriented gradien
hogPlbpPsvm
- 该代码是通过opencv来实现结合hog和lbp特征，通过支持向量机来进行分类决策时实现行人的检测代码，有兴趣的同学可以下载参考下！-The code is done by opencv combined with the feature of hog and LBP, by support vector machine (SVM) classification decisions to achieve the pedestrian detection code, students are in
hog
- hog训练和分类的程序,hog特征可以用于行人检测，这个程序包括训练和分类 欢迎下载-hog training and classification procedures, hog feature can be used for pedestrian detection, this program includes training and classification Welcome to download
HOGvisualize
- 可以对图片提取HOG特征并进行可视化显示，开发平台为OPENCV，C++语言。-HOG features can be extracted on the image and visualization development platform for the OPENCV, C++ language.
svm_gesture_recognition
- 基于opencv的手势识别 1、hog : hog特征提取 2、hogTainer ： 样本训练，利用了SVM方式 3、gestureRecognition ： 手势识别，利用了训练得出的线性分类器进行识别分类 训练样本在hog文件夹中，对应gesture_a到gesture_e ，五种手势-Gesture recognition 1, hog: hog feature extraction 2, hogTainer: sample training, t
features
- 图像识别与跟踪中，HOG特征为效果较好的一种特征，代码为HOG的特征提取。-In the image recognition and tracking, the HOG feature is a better one, and the code is HOG feature extraction.
HOG
- 读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） -Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, t
HOGPedestraindetaction
- 利用hog特征实现行人检测的opencv小程序-a program use hog figures to detect pedestrain in a picture
HOGCompute
- 根据2005年Dalal提出HOG特征计算原理，自己编写了HOG特征提取算法，此特征可以用于目标检测中，包括行人检测，采用编程语言为C++，采用视觉库为opencv(According to the principle of HOG feature calculation proposed by Dalal in 2005, HOG feature extraction algorithm has been compiled. This feature can be used in object
code.tar
- 利用hog 特征提取 然后用SVM 分类识别(Hog feature extraction, and then using SVM classification recognition)
main
- 实现基于hog特征的svm分类器实现粉刺识别(Realization of svm classifier based on hog feature for acne recognition)
96282002Human-Motion-Tracking
- 利用图像的HOG特征训练SVM分类器，对运动人体目标进行跟踪(Using the HOG feature of the image to train the SVM classifier, the program runs through the obtained data.)
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method