搜索资源列表
FGseg2
- 采用graph-cut背景减除的算法-backgroud subtraction algorithm using graph-cut
A-Fusing-Color-and-Gradient-Features-Approach-to-R
- 本文通过融合图像的颜色和梯度特征 ,实现了一种实时背景减除方法。首先融合颜色和梯度特征建立新的能量函数 然后基于图切割算法最小化能量函数 ,并对前景P 背景进行分割 最后使用光流验证前景区域的真实性 ,并更新背景模型。- Based on the fusion of color and gradient features , this paper implement s a novel approach to real-time background subtraction.Firstly ,
frame_difference
- 视频帧差算法实现的背景减除。matlab代码。-Video frame difference algorithm of background subtraction. matlab code.
mixture_of_gaussians
- 基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
src
- 背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码-The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" fold
bgslibrary_x86_v1.9.2
- bgslibrary_x86_v1.9.2,是MFC的实现文件，包含37种背景减除算法，对于做目标提取的研究非常有用。-The BGSLibrary was developed by Andrews Sobral and provides an easy-to-use C++ framework based on OpenCV to perform background subtraction (BGS) in videos.
GMM
- 一种较好的背景减除算法，可以提取运动物体的前景图像，并能较好进行运用(Background subtraction algorithm)