搜索资源列表
objdetect
- 利用HOG特征和SVM分类器实现人体的检测，很有效-HOG features and SVM classifier detection of the human body, it is effective
peopledetect
- 利用HOG特征和支持向量机训练的到人体检测分类器，实现对人体的检测-HOG features and support vector machine training to the human detection classifier, the detection of the human body
Hog_MatlabCode
- H o g代码的matlab实现以及其源码-Matlab implementation of the Hog code
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.
hog1
- Histogram of Oriented Gradients (HOG) are feature descr iptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method i
OLT.tar
- HOG Human Detection Benchmark Source Code. Use it to compare your algorithm with HOG Human Detection System.
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
FinalVision-project
- it is about HOG in opencv and describe it completely.
huangdaxia1
- 关于HOG训练检测的Matlab代码，代码包括训练，检测-Extraction of HOG feature, and is trained the model awakened by Category
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
HumanDetection_HOG
- 基于HOG（histogram of gradient）的动图像中的人物识别。含java程序和视频数据。-people detection using HOG method.
sport-target-detection-track
- 图像梯度方向直方图（HOG)特征基础上云模型运动目标检测算法,提出HOG特征为基础的均值漂移算法 -Moving target detection algorithm of image gradient orientation histogram (HOG) features based on cloud model proposed HOG feature based on mean shift algorithm
peopledetect
- HOG+SVM的经典算法，检测效果还算不错，23K左右的图片300MS左右-HOG+SVM classical algorithm, the detection effect fairly good， it costs 300MS to detect picture which size of 23K.
adaboost-train-test
- 级联分类器学习，训练，测试过程 选择了HOG特征和LBP特征-adaboost train learn test hog feature lbp feature
HOG
- use for matlab.one of the method for using the histogram. for recognition purposes.
5
- 本文提出一种通过实时调整目标特征权值来进行背景自适应跟踪的算法。首先，定义了一种综合特征集合用以描述目标的颜色和局部轮廓。其次，提出了在滤波框架中对目标特征进行评估的算法，从而使得具有强区分能力的特征占有较大的权值，进而使其能够在跟踪过程起到较大的作用。采用传统的Kalman 滤波和粒子滤波对所提出的算法进行了验证。-In this paper, we propose a new adaptive visual object tracking method based on online f
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
feature_generation
- 这是对图片进行提取HOG特征的代码，代码很全-HOG feature extraction picture of the code, the code is full
sourceCode--peopleDector-liyuanman
- 基于hog行人检测的源码，别人写的，觉得挺不错，分享一下。-Histograms of Oriented Gradients for Human Detection,source code.