搜索资源列表
CG11
- 基于高斯的背景建模，更改文件路径，载入AVI视频，运行，出现3个窗口，分别为视频、背景模型和前景-gmm
MovDetect
- 基于复杂背景，单运动目标的检测，原始混合高斯模型背景更新与检测-Based on complex background, a single moving target detection, the background of the original Gaussian mixture model updated with the detection
backgroundmodel
- 几篇英文的关于高斯背景建模的文章，很有参考价值，大家可以阅读以下-Several English articles on the Gaussian background modeling, a good reference, we can read the following
segmentation
- 关于前景背景分离的论文集，内容涵盖了很多方面，从差分，到高斯分布，到codebook-Background on the prospects of separation proceedings, covers many aspects, from the differential to the Gaussian distribution, the codebook, etc.
MoveObjct
- 研究了室内环境下的运动目标的检测技术。讨论了各种目标检测的算法,提出基于室内相对静止背 景下的目标检测算法,利用高斯背景建模方法提取较为理想与“干净”的背景帧,并可进行背景的自适应更 新,然后再利用所得的背景与当前视频帧进行相减,得到视频中运动目标的前景图像,经过平滑去噪处理得 到较为理想的目标检测效果 -Of the indoor environment of moving target detection. Discussed a variety of target dete
gauss
- opencv中的高斯背景建模，适合初学者，比较不错的学习代码-gauss background model
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
motiondetect
- 基于OPENCV的高斯背景模型下运动目标检测源码-motion detect based opencv
GaussBG_test1
- 单高斯目标检测，主要是通过先有K帧图像初始化背景，再通过公式不断更新背景来实现目标检测-Single gaussian target detection, mainly through the first K frames image initialization background, then by formula update background to achieve target detection
gaussbackground
- 视频图像处理，主要对视频用高斯模型进行背景建模，从而将前景和背景分离-Video image processing, mainly for video background modeling using Gaussian model to the foreground and background separation
smy
- 基于高斯的背景建模，自己做的效果不错，可以进行检测-Gaussian background modeling based on their own do well, can be detected
motion3
- 基于混合高斯模型的多目标跟踪算法，对背景图像建立混合高斯模型，实时更新高斯模型，达到更新背景的目的。-Gaussian mixture model-based multi-target tracking algorithm, Gaussian mixture model to establish the background image, real-time updates Gaussian model, to achieve the purpose of updating the backgr
detecion2
- 混合高斯背景建模，可以将视频中运动的物体提取出来-Gaussian mixture background modeling
mixture_of_gaussians
- 利用高斯背景建模，对运动物体进行动态检测，实现视频中的运动目标的识别-Gaussian background modeling, the dynamic of the moving object detection for video of the moving object recognition
trafficGmmjiazao
- 给一段视频加噪声，并通过混合高斯模型提取背景，可以验证混合高斯模型对噪声的鲁棒性！有注释！-To add a video noise, and Gaussian mixture model by extracting the background, you can verify the Gaussian mixture model robustness to noise! A comment!
gmmbeijing
- 基于opencv的混合高斯背景模型，用对运动目标的背景提取，可保存背景 -Opencv-based mixture Gaussian background model with the moving target of the background extraction, background can be saved
3
- 本段代码主要介绍在OpenCV下进行高斯背景建模 -This code describes in OpenCV under the Gaussian background modeling
gaussmoo
- 高斯背景建模源代码，实现背景建模，但前景处理效果不好-Gaussian background modeling source code to achieve the background modeling, but the outlook is not good treatment effect
BGFG_CODEBOOK
- 基于码书的运动目标检测是和混合高斯模型（MoG，GMM）类似的而简单有效的背景剪除方法，附件是VC++6.0编写的基于码书的运动目标检测，可直接读取摄像头，也可改为读取硬盘视频文件，需安装Opencv1.1，-Codebook-based moving target detection and Gaussian mixture model is (MoG, GMM) and a similar cut off the background simple and effective method
Gauss-background
- 基于混合高斯背景模型的背景剪除法，可以对背景进行实时的更新实现对前景的检测-Background model based on Gaussian mixture background pruning method, the background can be updated in real time to achieve the detection of future