搜索资源列表
HOG-LBP-detection
- 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 acte
cv_test
- 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
objectdet20070707
- cvpr07年 对象检测代码 hog+svm，压缩包里含有行人，车辆等分类器，可以直接检测-cvpr07 on object identification code hog+ svm, compression bag with pedestrians, vehicles and other classifiers
HOG-SVM
- it s HoG descr iptor, the writer code has some errors, and I have correct the errors, and the code is right under C+-it s HoG descr iptor, the writer code has some errors, and I have correct the errors, and the code is right under C+
hog
- HOG+SVM 应用OPENCV来检测人体图像中是否有人-HOG+SVM application the OPENCV to detect whether someone in the human body image
cppHoG-raw-RBF
- HOG特征 加上 SVM训练方法的程序，可以实现人体检测、人脸检测，从CSDN上下载的，本人使用了，可以使用，但需要安装opencv2.0以上版本，其余的版本我没试过-HOG feature program plus SVM training methods, you can achieve human detection, face detection, download from CSDN, I use, you can use, but need to install opencv2.0
peda_detect
- 行人检测实现代码，利用hog特征和harr特征，svm分类器实现-Pedestrian detection code, the use of hog features and harr characteristics, svm classifier to achieve
face-detection
- HOG+SVM人脸识别演示程序 使用梯度直方图特征与SVM分类器-face detection demo program using HOG SVM
PeopleDetect-master
- 使用HOG特征和SVM分类器来进行行人检测，通过svm训练分类器得到人的特定参数-Pedestrian detection using HOG features and SVM classifier, and the specific parameters are obtained by SVM training classifier.
PeopleDetection-master
- 使用MATLAB语言，利用HOG特征和svm分类器来实现行人的检测-Using MATLAB language, the use of HOG features and SVM classifier to achieve pedestrian detection
PassengerDetect
- 基于Opencv的行人检测，使用HOG+SVM，先遍历文件夹再对文件夹中的所有图片进行检测并把结果输出到txt中。-Pedestrian detection based on opencv,using hog and svm.
facedetect-test
- 基于hog特征与支持向量机的方式，使用opencv自带的haar特征分类器，检测人脸-Adapt to hog feature and support vector machine (SVM) method, based on positive and negative samples opencv training face,
HOGPSVM_opencv_detection
- 在vs2013平台下，利用opencv中的HOG特征加SVM分类器进行车标识别。-In the VS2013 platform, the use of opencv in the HOG feature SVM classifier for vehicle identification.
hog_svm
- hog+svm的Demo，实测可以运行，搭配INRIA图片集准确率为0.96. 不足：直接把图片缩小为64*128来检测，window的滑动没有。(the demo of HOG+SVM, could run,; not enough: it resize image to 64*128. the window have no slide.)
利用Hog特征和SVM分类器进行行人检测
- 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)
SVM_Train_Predict_HOG
- 通过HOG，和SVM训练，统计出一张图片中的人数(Through the HOG, and SVM training, statistics a picture of the number of people)
hog_svm
- 利用hog特征以及svm实现两个类别图像的分类(Classification of two categories of images using hog features and SVM)
pedestrain
- SVM + HOG深度学习，行人识别检测。。。。。。。。。。。(SVM + HOG deep learning...........)
SVM
- 通过HOG获取特征，用SVM对图像进行分类。(The feature is acquired by HOG, and the image is classified by SVM.)
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)