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codes-matlab
- this codes is Source code for face detection of viola paper.of its Features is: Feature Computation: The “Integral” image representation Feature Selection: The AdaBoost training algorithm . Real-timeliness: A cascade of classifiers.-this code
FaceDection
- 基于dsp的人脸识别,使用harr特征和adaboost级联分类器(Based on dsp face recognition, use the harr feature and the adaboost cascade classifier)
main
- 人脸检测: 第一部分,使用Harr-like特征表示人脸,使用“ 积分图”实现特征数值的快速计算; 第二部分, 使用Adaboost算法挑选出一些最能代表人脸的矩形特征( 弱分类器),按照加权投票的方式将弱分类器构造为一个强分类器; 第三部分, 将训练得到的若干强分类器串联组成一个级联结构的层叠分类器,级联结构能有效地提高分类器的检测速度。(Face detection: In the first part, the Harr-like feature is used t
da
- 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器;SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 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)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 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(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
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