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
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
meanshift
- meanshift函数对于运动模型的实时跟踪，初始手动选择跟踪范围。-meanshift based on the moving model, select the area which you want to focus.
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
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
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
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
gaosi
- 通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background
dangaosimexing
- opencv 基于单高斯模型的运动目标检测算法-opencv based on a single Gaussian model of moving target detection algorithm
gaosihunhemoxing
- opencv 基于高斯混合模型的运动目标检测算法-opencv Gaussian mixture model based moving object detection algorithm
GMm
- 混合高斯模型在运动检测中的应用，检测视频中的运动物体，做出其背景图像和前景图像-Gaussian mixture model in motion detection to detect moving objects in the video to make the background image and the foreground image
gsqj
- 采用高斯混合模型用于运动背景建模，可以检测出前景-Gaussian mixture model for motion background modeling, can detect the foreground
myGMM
- 运用opencv进行运动目标检测，背景采用高斯混合模型进行更新。-The use of OpenCV moving target detection, background model is updated by Gauss mix.
gmm-cv
- OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。-OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.
背景差GMM
- opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
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.)