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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
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.
targets-detection-and-tracking
- 基于vc++6.0+opencv的运动目标的检测与跟踪，包括一个小车视频，主要功能是在噪声、静止背景下实现运动目标的检测-Vc++6.0+ opencv-based moving target detection and tracking, including a car video, the main function is in the noise, static background detection of moving objects
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
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -OpenCV-based motion tracking sys
vcmotiondetect
- 采用自适应背景更新的运动检测算法。有源代码和可运行文件。-Adaptive background updating algorithm for motion detection. Source code and can run the file.
detection
- 背景减除法 Opencv 运动物体检测 ROI区域检测-Background subtraction method for moving object detection Opencv ROI region detection
Opencv
- 利用Opencv完成静态背景下的运动目标检测-The use of static Opencv the context of the completion of the moving target detection
bkgrd
- 运动检测方法：利用背景建模来检测运动的物体-Motion Detection: Using background modeling to detect moving objects
OPENCVgmm_modeling
- 基于OPENCV高斯背景建模源码，可实现初步的运动目标检测-OPENCV Gaussian background modeling based on source code, enabling the initial detection of moving targets
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
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
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
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
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)
用光流法进行运动目标检测
- 采用光流法形式检测背景相对稳定的运动物体，编写语言为C++，所有视觉库为opencv(The optical flow method is used to detect moving objects with relatively stable background. The language is C++, and all visual libraries are OPENCV)
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.)
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)
Debug
- opencv实现视频处理运动目标检测，使用帧差法，但是易受背景噪声影响(Opencv implements video processing moving target detection, using frame difference method, but it is easily affected by background noise.)
高斯处理视频并跟踪运动做前景背景分割
- 采用opencv 高斯处理视频并跟踪运动做前景背景分割(Gauss processes video and tracks motion to do foreground and background segmentation.)