搜索资源列表
peopledetect
- 检测摄像头中的行人。使用OPENCV 默认的SVM分类器-Pedestrian detection in the camera. Use the default SVM classifier OPENCV
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)
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
privacy-preserve
- SVM保护隐私的分类器，不暴露隐私的情况下发布SVM分类器，改进了原始的SVM分类器。-SVM classifier privacy-preserving, without exposing privacy release SVM classifier, improved the original SVM classifier.
LBP_train_main
- LBP特征的提取以及SVM分类器的训练，提供一个框架-LBP feature extraction and SVM classifier training, to provide a framework
SVM
- 一个自己封装的SVM类，可以实现对正负样品图片的剪切，分类器的训练，利用原来的文件测试分类器，利用一段视频测试分类器，同时也可以完成分类器的引用，同时SVM的训练参数可调。-Reference to a category of their own package of SVM, can achieve the image on the positive and negative samples of shear, training a classifier, using the original
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
SVM
- 配置opencv库，SVM训练和分类，显示分类结果，和支持向量机。对于初学者了解SVM分类器由一定帮助(Configure the opencv library, SVM training and classification, display classification results, and support vector machines. For beginners understand the SVM classifier by some help)
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.)