搜索资源列表
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
ga
- 基于混合高斯模型的背景建模方法的实现，用C++语言编写-Gaussian mixture model-based background modeling method of implementation, with C++ language
detectingmovingtarget
- 本代码可以实时更新背景，建立背景模型，从而检测出视频窗口的目标运动物体-This code can be updated in real time background, background modeling, which aim to detect moving objects in video window
moveboject1.0
- 基于opencv运动目标检测的中值模型，单高斯模型，简单统计模型的检测及监控系统-Opencv moving target detection based on the median model, a single Gaussian model, a simple statistical model of detection and monitoring system
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
ground_detect
- 基于OpenCv的背景检测，先要建立背景模型，检测在背景下的物体。（用的是均值方差的方法建立背景模型）-Background detection based OpenCv to first build the background model to detect objects in the background. (Using a mean-variance method to establish the background model)
Shadowtracking
- 前景检测，用于检测视频运动目标，本文用的模型是高斯模型，效果好-foreground detecting
OpenCVcalibration-
- 以计算机视觉和视觉检测中的摄像机标定过程作为研究的对象，分析了开源计算机视觉函数库OpenCV中的摄像机模型，使用张正友基于平面模板的方法进行标定-To computer vision and visual inspection of the camera calibration process as the object of study, analysis of the open source computer vision library OpenCV in the camera mode
moving-object-detection-method-
- 针对视频监控系统的运动目标检测部分,介绍了以OpenCV为平台,以背景减法与帧差法为基础的检测方法。它以背景减法建立和更新背景模型,利用感兴趣区域的设置提高实时性,引入修正的大津法自适应阈值改善二值化效果,并以帧差法为补充降低虚报率及光照变化的影响。实验表明,该方法可以快速有效地对运动目标实施报警。-OpenCV-based moving object detection method and application of some of the articles I read, I feel
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
CvGaussBGModel
- opncv实现高斯混合模型，背景、前景检测-opncv Gaussian mixture model to achieve
fulltext
- 一个实时的2维人体检测跟踪算法，是opencv源码里参考的文章之一。内容包括表面模型建立，新目标检测以及匹配的问题。-A Real-Time System for Detecting and Tracking People in 2D, is one of the references in opencv, including the appearance model, new object detect and how to find the corresponding one.
YCbCrGauaaModel
- 利用基于YCbCr空间的高斯模型建立背景，并实时更新，通过背景差分法检测出道路中的运动车辆目标，效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
HHGSMX
- 本程序是修改过的高斯混合模型，用来实现运动目标检测，效果不错。-This procedure is a modified Gaussian mixture model is used to moving target detection, good results.
GaussDetect
- 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
Gassainmotiondect
- 基于OpenCV的高斯背景模型检测，检测效果比较好-OpenCV based on Gaussian background model of testing, test results were quite good
FireDetection_color
- opencv 火焰检测 可以通过火焰颜色模型检测不同颜色的火焰-opencv fire detect
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
DetectSpeed
- 一个检测车速程序，结合高斯混合模型和光留法(a simple program to detect vehicle speed based on OpenCV C++)