搜索资源列表
GMM
- 高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground detection
TT1
- 利用高斯模型更新背景，再进行区域标记，去除噪声影响，检测出车辆。-Using the Gaussian model update the background, and then mark the area to remove the effects of noise, detect vehicles.
test2
- 读取图像文件，自动寻找双峰型直方图的阈值，HOUGH变换寻找直线，背景检测.（单高斯模型）-Read image files, automatically find the bimodal histogram threshold, HOUGH transform looking straight, background detection. (Single Gaussian model)
20140728
- 这是一个基于VC++的高斯混合模型背景重建及目标跟踪的程序，不仅有理论知识讲解，而且还有程序实现部分，望对大家有所帮助，如不明白者可以留言讨论-This is a VC++ based on Gauss mixture model background reconstruction and target tracking procedure, has not only theoretical knowledge, but also the program, we hope to help, if
ThisGMM1
- 图像背景动态建模，采用高斯滤波，比差分法效果好，适合运动场景的前景、背景分离-Image background dynamic modeling, using a Gaussian filter, better than the difference method results, prospects for sports scene, background separation
GMM
- 内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction-Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine
Eliminating_background_emissions
- 消除实验图像中的背景噪声，噪声为随机或高斯噪声-Eliminating background emissions
111111111
- 基于opencv的混合高斯背景建模，可对视频中车辆进行运动检测-Gaussian mixture background modeling, can be a vehicle for video motion detection
gsbg
- 混合高斯背景建模，单高斯背景建模，人脸检测，人眼检测，希望能够有所帮助-mixture gausion back model,angle gausion back model, face detection, eye detection
Gauss
- 背景建模 混合高斯模型 opencv代码和matlab代码-Background modeling Gaussian mixture model opencv code and matlab code
GAUSSIAN
- 视频图像处理，采用背景减除法中单高斯建模进行前景和背景的分离-Video image processing, background subtraction method using a single Gaussian modeling conducted foreground and background separation
mixture_of_gaussians
- 视频图像处理，采用背景减除法中混合高斯建模进行视频前景和背景的分离-Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video
GMM
- 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For c
Desk3234top
- 【谷速软件】高斯背景建模 可以做为参考使用 -[Valley] Gaussian background modeling speed software can use as a reference
improved_gussian_cal
- 高斯改进算法，背景减除法，方法很有效。可以参考-Gauss improved algorithm, background subtraction method, the method is very effective
MOG
- 使用Opencv实现的混合高斯背景建模，能够对图像的前景和背景进行分割。-Gaussian mixture background modeling using Opencv achieved, it is possible to image segmentation of the foreground and background.
mixture_gaussians
- 基于混合高斯背景模型的建模，用于视频运动区域提取，很有用的代码，希望对学者有所帮助-Modeling of mixed Gauss background model based on, for video motion region extraction, very useful code, and I hope to help scholars
IVS-meanshift
- 该文件是在VC++环境下运行的运动目标视觉分析。包括高斯模型背景提取，calman和meanshift滤波来实现跟踪，最终通过视频界面完成是否障碍入侵并报警-The file is a visual analysis of moving objects in VC++ environment running under. Including the Gauss model background extraction, Calman and meanshift filter to realize
guassianmodel
- 对采集的视频图像序列进行基于混合高斯模型的背景建模，随着背景的不断更新，提取出的背景效果越来越好，但该方法不适合背景变化剧烈的场景。-Video capture image sequences based on background modeling Gaussian mixture model, with the background of constantly updated, the extracted background effect is getting better, but th
mixture_of_gaussians
- 混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高-Mixed gaussian model to extract video frame prospects background image