搜索资源列表
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
background-modeling
- 用于视频图像、多帧图像序列背景建模，提取出复杂背景图像！-For video image frames of image sequences, background modeling, extracted from complex background image!
word-beijing
- 背景建模 前景提取 前景识别 matlab程序-Background modeling prospect identification matlab program to extract foreground
BeiJingJianMo
- 基于C#的视频前景检测与背景建模，包括实现代码和论文解释。-C#-based video background modeling and foreground detection, including the implementation code and the paper explains.
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
Background-model--program
- 基于自适应背景模型的背景建模程序，包括图像滤波，图像增强，形态学处理和连通性分析等处理-Background model based on adaptive background modeling procedures, including image filtering, image enhancement, morphological processing and connectivity analysis process
foreground-segmentation
- 使用背景建模法和时间差分法的前景分割，使用找轮廓的方式显示移动物体的位置-Background modeling using time-difference method and the prospect of partition, use the display profile to find the position of moving objects
Vehicle1.3
- VC6.0 + QT4 + OpenCV 环境。演示视频地址http://v.youku.com/v_show/id_XMzA3MTU2Mzky.html (低角度车流量检测器)一种基于车头特征的车辆检测，很好的应用于低角度摄像机。与地感线圈车检器相比，解决了跟车问题。与传统基于背景建模的检测方法相比，解决了道路拥堵问题并解决了传统方法受限于摄像机必须架设很高的问题。同时能有效去除自行车、摩托车、行人的干扰，准确率可达95 。 all rights reserved by birdwcp-V
background
- 图像处理，对视频图像背景建模，使用OPENCV-Image processing, video image background modeling, the use of OPENCV
shijianchafenfa
- 背景建模里一种很经典的算法，时间差分法，很好的提取背景-A classic background modeling algorithm, the time difference method, the extraction of background
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
beijin
- 背景建模，基于改进混合高斯模型的背景建模-Background modeling, background modeling based on the improved Gaussian mixture model
Gauss
- 利用高斯背景建模，进行运动目标的前景检测。-using Gaussian background model to detect the moving targets。
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
gaussian_backgroun
- 实现了高斯背景建模的方法来对运动目标的检测-object detection using Gaussian background modeling
recognition-algorithm-design
- 运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for th
MixtureOFGaussians
- 实现混合高斯背景建模，对给定图像序列进行背景建模.内置的参数可以自行修改，以适用不同的应用需求。-mixture of gaussian，it will help you to construct the background model of series frames
GaussBGModel
- 用opencv实现的运动目标检测算法，程序用的是高斯背景建模法，测试用的是夜间车流量的视频，光线变化不大，效果不错-Moving target detection algorithm, with opencv program with the Gaussian background modeling method, the test is the video of night traffic light changes, the effect is good
gaosi1
- 实现人摔倒检测，其中利用了高斯背景建模，经过编译成功运行，希望对大家有点帮助-Realization of the fall detection, which use a Gaussian background modeling, compiled to run successfully, we hope to be helpful
backgroundmodel
- 高斯背景建模 图形图像处理，数字图像处理-background model deal digtial image dealing