Description: 本程序的主要作用是前景视频的提取，即把已知的视频文件分为原图和前景图，为进一步的图像分析做铺垫。-The main role of the program is the extraction of the foreground video that known video files into the original image and prospects map, laying the groundwork for further image analysis. Platform: |
Size: 1529856 |
Author:李娇 |
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Description: VS2008+opencv开发的目标跟踪，能框出目标，VS2008可以打开 需要预先配置OPENCV-VS2008+ opencv target tracking development, to frame the target, VS2008 can open the need to pre-configure OPENCV Platform: |
Size: 1845248 |
Author:李振宇 |
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Description: Fast video loading code do background subtraction subtracting all frames from first frame
and show the result video so fast Platform: |
Size: 2048 |
Author:ali |
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Description: he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way.-he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way. Platform: |
Size: 1024 |
Author:suhail |
Hits:
Description: 在运动目标识别中提取前景图像，降低不相关区域的干扰-In moving target recognition to extract the foreground image, reduce the interference of unrelated area Platform: |
Size: 4096 |
Author:zhangjing |
Hits:
Search - extractForeground