搜索资源列表
avi2
- 对avi操作文件的操作，如背景建模，目标分割等-right to operate the operation of documents, such as background modeling, object segmentation, etc.
kdetoolbox(matlab)
- 核密度估计(kde)的工具箱,我是在做背景建模的时候遇到这方面问题找到的,希望对大家有点用处.-nuclear density estimates (kde) Toolbox, I was doing background modeling, encountered this issue to find, and I hope to you a bit useless.
backmode824
- 这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流-this is the application of Gaussian mixture of the background modeling method for the detection procedures, opencv needed. for the exchange of exchange
kalmandlg
- 采用卡尔曼滤波进行背景建模再作差分的方法的车辆检测程序，用到了opencv库-Kalman filter for background modeling method further differential vehicle testing procedures, use the opencv library
Gaussian
- OPENCV 的 高斯背景提取，可以方便的进行背景建模与分析-Extraction of the Gaussian background OPENCV, to facilitate the conduct of background modeling and analysis
GoodAritcal
- 视频处理算法中关于背景建模和背景差分的几篇很好的文章-Video processing algorithms on the background modeling and background difference of several very good articles
gaussian
- 高斯背景建模，可以处理单通道或者多通道图像，效果不错，完整注释-Gaussian background modeling, support single channel or multiple channel
Background_modeling_of_dynamic_scenes_based_on_tar
- 基于背景建模的动态场景目标检测,介绍了背景建模的步骤和重要的方法，然后介绍了根据背景差分法，来提取运动目标，从而进行跟踪-Background modeling of dynamic scenes based on target detection, background modeling described the steps and important way, then introduced under the background difference method to extract
20101201
- 首先从视频中提取100张图片，用其中五十张图片根据平均值法获得背景图片，然后做差，二值化，提取目标。-First, extracting 100 images from the video ,using fifty pictures to obtain the background image with the method of average. Then frame difference, binary, extracting the target.
yundongjiance
- 运动视频的背景建模与运动物体的检测，包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
vibe建模
- VIBE 很好的一种背景建模方法。适合运动目标的建模，不适合长时间不动的物体
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)
三种传统背景减除法
- 使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling
背景差-人-车多目标提取-背景提取
- 车流量检测,背景建模,人,单个车辆,多个车辆的检测(Vehicle flow detection)
BeiJingFenLi2
- 混合高斯背景建模进行背景分离，在实行膨胀腐蚀操作提取运动目标特征(Mixed Gaussian Background Modeling for Background Segmentation, Extraction of Moving Target Features During Erosion Operation)
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
均值背景学习法
- 均值背景学习法的MATLAB实现，设定学习因子a进行循环迭代，完成背景建模，a为新图像对原图像的影响(MATLAB implementation of mean background learning method)
gaosi
- 在视频监控中采用背景相减法时，采用单高斯背景建模建立背景模型(Background subtraction for setting up a background model)
Experient4
- 利用opencv高斯混合背景建模，并进行开闭运算滤波， 提取视频监控中的车辆(Using opencv Gaussian mixture background modeling and opening and closing operation filtering to extract vehicles in video surveillance)