搜索资源列表
HOGadaboost
- 用matla实现的行人检测，使用hog+adaboost的方法，内附程序运行时所需的大量训练及检测图片-Pedestrian Detection with matla achieved, the use of hog+ adaboost the method, enclosing the program is running a lot of training and testing images...
fenleiqi
- 本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.-This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, a
lunwen
- 提出一种多尺度方向(multi-scale orientation,简称 MSO)特征描述子用于静态图片中的人体目标检 测.MSO 特征由随机采样的图像方块组成,包含了粗特征集合与精特征集合.其中,粗特征是图像块的方向,而精特征 由 Gabor 小波幅值响应竞争获得.对于两种特征,分别采用贪心算法进行选择,并使用级联 Adaboost 算法及 SVM 训 练检测模型.基于粗特征的 Adaboost 分类器能够保证高的检测速度,而基于精特征的 SVM 分类器则保证了检测精 度.另
peddetection
- 行人检测的源程序，基于HOG算法，能实现对行人的检测。-The source of the pedestrian detection, pedestrian detection, based on the HOG algorithm.
voc-release3.1
- 使用discriminitive part based hog feature 来进行行人检测-use discriminitive part based hog feature pedestrian detection
the_hog_extractor
- HOG特征提取源代码，这份代码是针对行人检测编写的，可以根据个人需要设置参数。-HOG Feature Extraction source code, this code is written for pedestrian detection, you can set the parameters according to individual needs.
opencv_hog_test
- 本文主要介绍下opencv中怎样使用hog算法，因为在opencv中已经集成了hog这个类。其实使用起来是很简单的，从后面的代码就可以看出来。本文参考的资料为opencv自带的sample。 开发环境：opencv2.4.2+Qt4.8.2+ubuntu12.04+QtCreator2.5. 实验功能： 单击Open Image按钮，选择需要进行人检测的一张图片，确定后自动显示出来。该图片的大小没限制。 单击People Detect按钮，则程序会自动对该图片进
pedestrain
- 经典的行人检测算法，利用HOG和SVM实现此算法。已调试可以正常运行。-Classic pedestrian detection algorithm, HOG and SVM to implement this algorithm. Has debugging normal operation.
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
src
- pedestrian tracking/ this post about how to use OpenCV s HOG-based pedestrian detector: How can I detect and track people using OpenCV? ... of opencv. that said it should be easy to hack the opencv source code
de
- 基于HOG和SVM的行人检测代码，需要配置opencv-HOG and SVM-based pedestrian detection code need to configure opencv
OpencvUIDlg2.1
- OpenCV实现的HOG与粒子滤波器的行人跟踪-The OpenCV implementation the HOG particle filter pedestrian tracking
HOG12
- HOG特征的实现的，只要用于行人的检测,静态效果比较好些的-HOG features to achieve, as long as for pedestrian detection, static effect is somewhat better in
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
People_detection
- Linux下利用Opencv实现的行人检测算法！程序简答主要用的是opencv中SVM+HOG算法！-Linux using pedestrian detection algorithm Opencv realize! Program short answer is mainly used in the SVM+ HOG opencv algorithm!
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
hogfeature
- 利用积分图的方式提取图像hog特征，用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)
cHog
- 在opencv上实现hog特征的提取，相关的配置不多描述，参照opencv的配置(Pedestrian detection based on OpenCV)
ning
- 用MATLAB实现基于hog的行人检测中的求hog特征(Hog features for pedestrian detection)
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 toolbox, the compression package ha