搜索资源列表
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使用openCV写的高斯混合模型前景分离作业。-Extract the foreground from video sequence using Gaussian Mixture Model（GMM）with openCV.
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camshift算法跟踪-运行效果好.rar，是基于opencv的camshift算法，能提取背景、前景，实现对目标的跟踪，已调试能运行。-camshift algorithm track- good running effect rar, is based on the opencv camshift algorithm can extract the background, foreground, to achieve the goal of tracking, debugging can
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初始化 统计背景模型，用背景差法提取前景图像，并使得背景不断刷新-First initialized, statistical background model, background difference to extract foreground and background model constantly refreshed
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背景平均方法来从视频文件提取的目标读，多帧叠加平均为背景，前景对象减法是，各种改变后-Background averaging method to extract goals video files to read, multi-frame superimposed averaged as a background, the foreground object subtraction was, after various changes
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加载视频图像，进行前景和背景的提取，最后显示在三个窗口上-Loading video images to extract the foreground and background, and finally displayed on the three windows
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利用混合高斯进行背景建模，以此来提取前景-Use Gaussian mixture background modeling, in order to extract the foreground
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前景与背景分离，提取想要前景信息，并对前景去噪，分离三色通道。-Foreground and background separation, extract the information you want prospects, and prospects for de-noising, separated three color channels.
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光流法处理图像，提取前景图像，复杂场景，动态目标(Optical flow is used to process images, extract foreground images, complex scenes, and dynamic objects)
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两种烟雾处理的方法可以有效的提取前景和背景，并且具备保存功能。相比较其他方法这两种方法是可以直接使用的没有错误。(Two kinds of smoke treatment methods can effectively extract the foreground and background, and have the preservation function. Compared with other methods, the two methods can be used directly
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