Location:
Search - haar svm
Search list
Description: 利用级联的HAAR分类器寻找检测目标，采用OPENCV编写，代码简单运行稳定-Use the haar classifier cascade testing to find the target, using OPENCV preparation, code simple and stable operation
Platform: |
Size: 183296 |
Author: 鄢胜勇 |
Hits:
Description: 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope you will help
Platform: |
Size: 39090176 |
Author: 朱朱 |
Hits:
Description: Haar-like features with SVM classification
Platform: |
Size: 26702848 |
Author: Luciano |
Hits:
Description: 基于opencv的行人检测，用到了svm,haar特征-Opencv-based pedestrian detection, use the svm, haar features, etc.
Platform: |
Size: 1901568 |
Author: 王战新 |
Hits:
Description: 用matlab编写的基于haar特征和SVM的行人检测代码集。其中包含了数据集。-Using matlab haar features and SVM-based pedestrian detection code set. Which contains the data set.
Platform: |
Size: 6282240 |
Author: huangyu |
Hits:
Description: 计算Haar小波特征，用AdBaoost提取部分有代表性的特征共三种特征选择方法与SVM相结合进行目标跟踪的算法。
-The calculated Haar wavelet features to extract some of the typical characteristics of three feature selection method combined with SVM algorithm for target tracking AdBaoost.
Platform: |
Size: 12433408 |
Author: QQ |
Hits:
Description: 一个实现用svm实现的haar特征检测，
速度快。-A svm achieve haar feature detection speed.
Platform: |
Size: 62464 |
Author: 王飞 |
Hits:
Description: 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify.
Platform: |
Size: 18237440 |
Author: zhu rg |
Hits:
Description: 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,
Platform: |
Size: 14057472 |
Author: 会员 |
Hits:
Description: 用HAAR和Adaboost训练并检测行人，其中存在一点BUG，需要安装LIB-SVM(Using HAAR and Adaboost to train and detect pedestrians, there is a bit of BUG, and LIB-SVM needs to be installed.)
Platform: |
Size: 51850240 |
Author: 悦帅
|
Hits:
Description: 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 Haar AdaBoost and hog based SVM Classifier + fast Hough circle transform for human head recognition + target tracking algorithm based on regional characteristics.)
Platform: |
Size: 1024 |
Author: 神万心 |
Hits:
Description: 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 Hough circle transform for human head recognition + target tracking algorithm based on regional characteristics.)
Platform: |
Size: 1024 |
Author: 神万心 |
Hits:
Description: 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 SVM Classifier + fast Hough circle transform for human head recognition + target tracking algorithm based on regional characteristics.)
Platform: |
Size: 1024 |
Author: 神万心 |
Hits:
Description: 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 transform for human head recognition + target tracking algorithm based on regional characteristics.)
Platform: |
Size: 2048 |
Author: 神万心 |
Hits:
Description: 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 AdaBoost and hog based SVM Classifier + fast Hough circle transform for human head recognition + target tracking algorithm based on regional characteristics.)
Platform: |
Size: 2048 |
Author: 神万心 |
Hits:
Description: 该项目包含特征提取，模型判别，运动建模，特征提取包含Haar-like，HOG，判别包含岭回归，SO-SVM，测试数据集为2013Tracking-Benchmake BlasketBall手动标注图像(The project includes feature extraction, model discrimination, motion modeling, feature extraction including Haar-like, HOG, discriminant inclusion ridge regression, SO-SVM, test datasets for 2013 Tracking-Benchmake BlasketBall manual annotation images)
Platform: |
Size: 57496576 |
Author: 水里一条猫 |
Hits: