搜索资源列表
phog
- phog算法的matlab实现，hog特征用于对象识别，比如人脸识别、人体识别。
Matlab_HOG
- MATLAB版本的HOG实现代码。使用MATLAB编的HOG代码，用于进行人体检测-MATLAB version of the HOG code.HOG code compiled MATLAB for Human Detection
particlefilter
- 粒子滤波器使用示例，用于跟踪效果好，用VC++实现-example of particle filter
PlotHOGImage2
- 图形图像处理 经典HOG plot matlab-histogram of orietation gradients image
ParticleFilter_double
- 使用粒子滤波进行多目标跟踪，采用vc05进行编程-Using the particle filter for multi-target tracking, using vc05 programming
Timer
- pHOG algorithm matlab achieve, hog characteristics for object recognition, such as face recognition, hu
hogcalculator
- 基于matlab 的HOG特征计算代码，经过检测证明可用-HOG feature of the matlab code have been tested and proved available
hogcalculator
- 经典的HOG特征的求法，在matlab下面运行-HOG features the classic method for finding run in matlab the following
Hog_MatlabCode
- H o g代码的matlab实现以及其源码-Matlab implementation of the Hog code
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
vlfeat-0.9.17-bin.tar
- The VLFeat open source library ，可以用来进行HOG,SIFT等，这是最新版的VLFeat-The VLFeat open source library implements popular computer vision algorithms including HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels
hogcalculator
- hog算法的实现，通过matlab。在人流量监控中，hog算法是一种比较成熟和常用的算法。-achieve hog algorithm by matlab. In high traffic monitoring, hog algorithm is a relatively mature and commonly used algorithms.
hog_feature_vector
- HOG特征的MatlAB实现，在图像识别中应用非常广泛。-HOG features of MatlAB，Is widely used in image recognition。
fast-additive-svms.tar
- 基于HOG+LBP+HIKSVM的行人检测算法matlab代码实现，里面包含了libsvm-mat-3.0-1软件包.-the algorithm implementation of pedestrian detection based on the dates+ LBP+ HIKSVM，it contains the libsvm-mat-3.0-1 package
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB
HOGSVM
- 输入训练样本集和测试样本集，通过提取HOG然后用SVM实现分类。(Input training samples and test samples, extract HOG and implement classification with SVM.)
svm
- 基于hog特征的svm的图像分类识别，matlab程序(Image classification and recognition based on hog-svm)
图像识别代码集
- HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)
HOG算法的matlab代码
- 本代码实现了hog算法的matlab代码，有助初学者进行学习，hog算法用于人脸识别、行人识别等都具有很大的优势。