搜索资源列表
haarcascade_frontalface_alt2
- OpenCV正面人脸检测级联分类器训练结果haarcascade_frontalface_alt2-OpenCV frontal face detection cascade classifier training results haarcascade_frontalface_alt2
haarcascade_frontalface_default
- OpenCV正面人脸检测级联分类器训练结果haarcascade_frontalface_default-OpenCV frontal face detection cascade classifier training results haarcascade_frontalface_default
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
tangmin
- 实现车的训练和检测，运用adaboost分类器方法-Training and testing to achieve the car, using adaboost classifier method
Oil-spill-detection-in-SAR-images
- 一个溢油检测算法，先检测暗区目标，再进行特征提取，然后分类识别-We present algorithms for automatic detection of oil spills in synthetic aperture radar (SAR) images. The algorithms consist of three main parts, namely: 1) detection of dark spots 2) feature extraction from the
DetectFace2
- 这是一个利用opencv实现的，基于Haar分类器的人脸检测的程序-This is a program used to detect the faces in a picture based on the Haar classifier
pedestrian-detection
- 提供了一种基于HOG特征的智能行人检测(SVM分类器)-HOG-based pedestrian detection feature intelligent (SVM classifier)
peda_detect
- 行人检测实现代码，利用hog特征和harr特征，svm分类器实现-Pedestrian detection code, the use of hog features and harr characteristics, svm classifier to achieve
llde_cmb
- 人脸检测一直是人们在研究的问题，流形学习用于人脸检测中的特征提取，用PCA与constructM进行降维，KNN分类器用于分类。取得非常好的效果。-Face detection has been the problem of people in the study, manifold learning for face detection feature extraction using PCA and constructM dimension reduction, KNN classifier
RandomForest-C-version
- 随机森林是机器学习领域中一种有效的组合学习模型。在目标检测识别算法中，随机森林被证实在分类中具有很好的性能和效果。提供随机森林源码以供学习参考。-Random Forests field of machine learning is an effective combination of learning model. Target detection and recognition algorithms, random forests was confirmed in the classifi
FaceDetect
- 介绍了人脸检测的算法，然后分析人脸检测算法在CPU上执行的效率，最后找到在GPU上利用OpenCL并行优化基于haar层级分类器的通用方法，从比较宏观的角度介绍了优化方法，给出了基于图像金字塔和级联分类器的算法的通用优化方法-Introduced face detection algorithm, and then analyze the face detection algorithm running on the CPU efficiency, and finally found the G
1004-9762(2011)01-0056-05
- 基于协议分析和SVM 多分类的入侵检测系统研究*-Multi-protocol analysis and SVM based classification Intrusion Detection System*
fuzzynet
- 用Matlab实现的模糊神经网络模型，用于检测和评价水质情况，并进行预测，压缩包里包含了数据集和源程序。具体的应用可以根据用户的需求稍作更改，可用于分类。-Using Matlab fuzzy neural network model for the detection and evaluation of water quality, and to predict the compressed bundle contains the data sets and the source. Speci
main
- 用Harr特征分类器进行人脸检测，级联分类器 采用opencv中已经完成的人脸训练模型-Harr features classifier using face detection, cascade classifier has been completed using opencv face training model
FaceDetectionDlg
- 应用OpenCV进行人脸检测。Adaboost算法实现起来比较复杂，应用OpevCV提供的函数和分类器进行人脸检测将十分容易。-Application of OpenCV for face detection. Adaboost algorithm to achieve more complex, applications provided by OpevCV function and classifier for face detection will be very easy.
imagetexturedemo
- 这个程序可以实现图像的纹理检测，然后进行分类！-This program can detect image texture，and classic！
lkdemo
- 这个程序可以实现图像的纹理检测，然后进行分类！-This program can detect image texture，and classic！
Hyperspectralterrain-classfic
- 高光谱图像的第五分类技术，对光谱分析并对比检测出地景的算法-Fifth hyperspectral image classification techniques, algorithms for spectral analysis and contrast detect landscapes
pic
- 用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the fu
Pedestr-ian-Detection
- 基于多特征的AdaBoost行人检测算法, 提出一种融合灰 度和轮廓信息的新的多特征综合表示方法. 该方法通过统计样本的权重直方图建立分类模 型, 并用多个直方图的乘积表示样本在多特征下对应的联合概率分布-AdaBoost pedestrian detection algorithm based on multi-feature, presents a fusion of grayscale and contour information of the new multi-feature