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基于混合高斯背景建模算法
- 该代码可以用于实现基于混合高斯背景建模的运动检测，该算法计算量较大，运行时间较长！
背景建模检测运动物体
- 利用背景建模检测运动物体。
背景减除法-三帧法-高斯背景建模法运动检测-VC
- 背景减除法-三帧法-高斯背景建模法运动检测-VC
codebook.rar
- 此代码实现了基于码书的背景建模法在运动目标检测中的运用,This code implementation code book based on background modeling method in target detection exercise in the use of
detection.rar
- 用openCV实现，利用背景建模检测运动目标,opencv，detect motion target using background modeling
w4-moving-object-detection
- 此程序是针对视频中的运动目标的检测，程序中包括了背景建模、背景差法等功能的w4背景建模算法。-This procedure is for the video of the moving target detection, process modeling, including the background, the background difference method and other functions of the background modeling algorithm w4.
singleGaussianmodel
- 本码源是针对于单高斯模型算法做的运动目标检测，其中实现了背景建模、背景更新和目标检测的步骤实现。-The source code is in the single-Gaussian model for the algorithm to do the moving target detection, in which the realization of the background modeling, background to update and steps to achieve targe
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
bkgrd
- 利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)
bkgrd
- 利用背景建模检测运动物体。逐帧读取视频，根据帧差法来实现。-The use of background modeling moving object detection. Read video frame by frame, in accordance with the frame difference method to achieve.
beijingjianmo
- 此算法通过背景建模的方法来检测运动物体，效果还不错-This algorithm modeling methodology through the background to detect moving objects, the effect was not bad
bkgrd
- 基于opencv 利用背景建模检测物体-bkgrd
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
liyongbeijingjianmojianceyundongwuti
- opencv 利用背景建模检测运动物体-opencv using background modeling moving object detection
mixture_of_gaussians
- 基于混合高斯背景建模的理论思想，实现运动目标检测，检测效果理想-Gaussian Mixture Background Modeling Based on the theory of ideology, to achieve moving target detection, test results are satisfactory
backgroundmodeling
- 运动目标检测，背景建模，高斯背景建模，对初学者很有帮助-Moving target detection, background modeling, Gaussian background modeling, very helpful for beginners
KDE_subtraction
- 采用非参数背景建模，MFC，对运动目标进行检测，有很高的参考价值-Using non-parametric background modeling, MFC, the moving target detection, a high reference value
Background_modeling_of_dynamic_scenes_based_on_tar
- 基于背景建模的动态场景目标检测,介绍了背景建模的步骤和重要的方法，然后介绍了根据背景差分法，来提取运动目标，从而进行跟踪-Background modeling of dynamic scenes based on target detection, background modeling described the steps and important way, then introduced under the background difference method to extract
7788
- 大名鼎鼎的方帅的博士学位论文---目前,计算机智能视频监控在理论和应用上都面临着很多难题,国内外大批学者投身于该领域的研究和探索,并且取得了大量的成果.本文是在这些成果的基础上,对计算机智能视频监控系统的关键技术进行研究.主要贡献可概括如下:首先,对目标检测技术进行了研究,并提出了一种基于背景建模的运动目标检测算法.利用统计的方法建立了基于颜色和颜色梯度的背景模型,并实时地对背景模型进行更新,最后将这两种背景模型综合考虑对目标进行了有效的检测.接着,研究了复杂背景下多目标跟踪问题,提出了基于蒙特
ViBe_C++背景建模算法
- 基于背景建模的运动目标检测程序，所用算法为VIBE算法(Moving object detection program based on background modeling)