搜索资源列表
m111dechanfen
- 是一个自己编写的帧差法滤波程序,对于视频监控的背景建模有用。
GMM_and_shadow_suppression
- 基于混合高斯的背景建模与阴影抑制算法研究,背景建模,目标检测
median
- 运动目标检测,主要用了中值滤波和均值滤波两种方法进行背景建模
全局视觉导航
- 一种基于移动机器人平台的全局视觉导航程序,其中采用基于GMM的背景建模方法跟踪机器人目标,采用EKF导航算法
给予opencv的VIS视频跟踪
- 该源码是关于运动对象跟踪的算法,主要实现了高斯背景建模,全局运动补偿(SIFT特征和RANSAC算法),运动对象检测,对象跟踪算法(Mean Shift,Particle Filter等),对象特征提取(轨迹,大小,起止帧等),同时,程序基于VC2008+OpenCV开发,实现了对话框式的程序界面,效率高。
GMM_opencv.rar
- 用OpenCV实现的GMM背景建模,自己写的,一直在使用,Background modeling based on GMM(Development Environment: VC, OpenCV)
back
- 帧差法背景建模,在外界环境变化情况不大时使用较为方便快捷-Background modeling frame-difference method, small changes in the external environment is more convenient to use
background-object-testVC
- 可以进行背景减除法-三帧法-高斯背景建模法运动检测- This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles loc
GaussBackGroundModel
- 最基本的混合高斯背景建模matlab源代码,本人用于火灾烟雾检测的毕设代码,已运行成功,很好的检测运动目标的算法。-Effective Gaussian mixture learning for background model to detection moving goal.
SimplestSaliencyExample
- 基于OPENCV的前景目标分割程序,使用高斯背景建模将移动的前景目标分割出来。-a saliency region extraction program based on OPENCV library using Gaussian background modeling method.
codebook_learningcode
- codebook高级背景建模的例程,很好的学习资料-codebook high background modeling routines, good learning materials
background-subtraction-
- 有关背景建模技术的国际上的先进方法,以及对各种方法的评价-Evaluation of background subtraction techniques for video surveillance
1-4YCC
- 本代码是在VC平台实现的摄像头输入的目标跟踪,以高斯建模做的背景,希望对大家有帮助-The code is in the VC camera platform target tracking input to Gaussian background modeling done, I hope all of you help
Codebook
- 这是背景建模中关于码本模型的经典文章,通过文章可以读者很快了解码本模型。-This is the background modeling yards this model on a classic article, the reader very quickly through the article can decode the model.
read-file
- 背景建模,运动目标检测,读视频文件,opencv中的图像处理-Background modeling, moving object detection, reading and video files, opencv Image Processing
Adaptive-background-mixture-models-
- 在目标检测中有关高斯背景建模方法的实现和国际上先进方法的介绍-Adaptive background mixture models for real-time tracking(高斯背景建模方法)
Gaussian-modeling-approach
- vc++和opencv,运用高斯建模的方法对场景进行背景建模,背景差分。从而检测出运动的物体,如机动车辆、行人,烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
motiondetect
- OpenCV example, 背景建模,运动物体检测-OpenCV example, the background modeling, moving object detection
gmmPP
- 基于opencv实现的混合高斯背景建模,C++程序-gaussian mixture model for background modeling
concodebook
- 码本模型背景建模 很好的检测运动物体 对初学者有帮助-The code model background modeling moving object detection is very good help for beginners