搜索资源列表
HaarFaceDetect
- 人脸检测领域经典的Haar人脸检测。使用OpenCV.-Face Detection classic Haar face detection. Use OpenCV.
facetect_matlab
- Face-Detector, OpenCV Haar cascade object detection. Matlab interface for running haar-cascade object detectors from the Intel Open Computer Vision Library.
Haar-Liketezheng
- 自已写的Adaboost使用Haalike feature，去Detection
TrackEye_src.zip
- 一个由zafersavas于2008年完成的完全基于VC++6实现的人脸检测和人眼跟踪程序，通过设置相应的参数实现不同的功能。人脸跟踪中使用了camshift算法和Haar算法，眼睛检测中使用了自适应PCA算法和模板匹配算法，还支持文件和网络摄像头两种输入方式，经过试验，检测速度比较快和准确度也比较高。附带demo程序。 使用步骤： 菜单TrackEye Menu --> Tracker Settings 输入源Input Source: video 选择文件输入指定为： ..\Avis\
Wavelet-transform
- 原始信号是含有奇异点的信号，为确定该奇异点的时间，采用haar小波进行连续小波变换后，在对系数进行分析处理。-The original signal is containing singular point of the signal, in order to determine the singular point time, adopting haar wavelet to continuous wavelet transform, the coefficients in analyzed
code
- 多种分类器的代码，代码非常好，希望大家能下载，因为这里面涵盖了haar，adaboost，treelearner，singlestumplearner，constantlearner很多学习方法-Multiple classification code, the code is very good, I hope you can download, as this which covers the haar, adaboost, treelearner, singlestumplearner,
blinkdetect-src
- 眨眼检测，先用haar特征框定人脸，然后用camshift跟踪人脸，根据几何特征得到人眼的大概位置，然后根据直方图的变化检测眨眼-Blink detection, the first feature with the haar framed face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human ey
fdp-v51
- Face detection project based on Adaboost algorithum.
haar_wavelet_v4
- Haar-like features with SVM classification
HAAR
- 一个实现用svm实现的haar特征检测， 速度快。-A svm achieve haar feature detection speed.
HaarPSRC=Vehicle-detection
- 运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。-Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training a
Haar-Detect
- 用OpenCV封装的Haar算法进行人脸检测，检测目标可以是多个人脸。-Face detection using Haar algorithm of OpenCV package, target detection can be more than one person face.
fdtool
- 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
facedetect
- 人脸识别，程序证明了Cacade检测器。可以使用Haar或LBP特征。能检测许多类。-This program demonstrates the cascade recognizer. Now you can use Haar or LBP features.This classifier can recognize many kinds of rigid objects
plate-crad-detect
- 基于haar+adaboost的车牌检测系统，可以说，国内前几名。 高清大图，小目标的车牌检测性能很好。可以支持多目标检测，检测速度1080P 时间在100ms以内，针对雨雾天，污迹，脏的车牌检测效果很好。 系统采用标准C C++开发，方便移植到linux，arm等-Based haar+adaboost license plate detection system, it can be said before the domestic few. HD big picture, lice
Haar
- haar+adaboost人脸训练和检测源码,优化程序,速度极快-haar+adaboost face training and testing source code optimizer, fast