搜索资源列表
gaussian3
- 对输入视频进行处理，使用高斯背景建模的方法，得到视频前景，对于人群密度估计具有很大作用。-Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.
frame-difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用Mat类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using Mat type.
difference
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
frame-difference(IplImage
- 在visual studio2010和opencv244写的连续帧差法的背景建模，图像处理采用IplImage*类型。加入空的工程即可运行。-Written in visual studio2010 and opencv244 frame differential method for background modeling, image processing using IplImage* type.
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪-Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking
meanshift
- meanshift算法的跟踪 高斯背景建模 opencv程序-meanshift tracking
Texture-Based-GOM
- 高斯背景建模的论文和配套源码，是外国人博客找到的，特收藏 -Gaussian background modeling papers and supporting source, a foreigner blog to find, especially Favorites
codebook
- cedebook背景建模方法的背景差分方法检测运动目标！-cedebook background modeling method for background subtraction method for detecting moving targets!
Mean-background-modeling
- 均值背景建模，包含视频！效果还可以，背景建模的还是不错的！-Mean background modeling, including video! Effect can be, background modeling is good!
program
- 背景建模和graph cuts相结合的方法对图像进行分割，达到了良好的效果。-a method which combines the background model and graph cuts achieve the good performance
gaosi1(1)
- 高斯混合模型进行背景建模，实时获取摄像头的视频进行运动目标检测-Gauss mixture model for background modeling, real-time detection of the video camera is used for moving target acquisition
ViBe
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，很简单。-ViBe is a pixel-level video background modeling or prospects detection algorithm is better than several well-known algorithms, hardware memory footprint small, very simple.
MovDetect
- vs2010工程，C++（优化了opencv的代码），通过混合高斯背景建模实现的运动物体检测，效果非常好。-vs2010 project, C++ (optimized opencv code), Gaussian mixture background modeling to achieve through the detection of moving objects, the effect is very good.
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.
codebook_learningcode
- codebook高级背景建模的例程，很好的学习资料-codebook high background modeling routines, good learning materials
bkgrd_opencv
- 源代码基于opencv 逐帧读取视频 然后通过背景建模构建出背景的灰度图 再通过背景检测出每一帧中的运动物体-Read the video frame by frame and then build through background modeling background grayscale and then through the background of detecting moving objects in each frame
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
MixGauss-CPP
- 高斯混合背景建模的C++表示,现在用opencv的比较多，用c++写更能体现算法思想-Gaussian mixture background modeling C++ representation
codebook
- 根据国外原文codebook翻译的中文版学习资料，对学习codebook动态背景建模很有帮助-According to foreign original codebook translated Chinese version of the learning materials, learning codebook dynamic background modeling helpful
EM_Algorithm
- 混合高斯背景建模的EM估计算法，是一篇英文资料，希望对大家有帮助。-EM estimation algorithm for Gaussian mixture background modeling, is an English data, we want to help.