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首页> 外文期刊>New Generation Computing >Moving People Segmentation from Zoomed Dynamic Scenes Containing a Door
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Moving People Segmentation from Zoomed Dynamic Scenes Containing a Door

机译:从包含门的缩放动态场景中移动人物细分

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摘要

The challenge of segmenting the moving object is harderrnwhen the background is dynamic and the camera used can change its zoom dynamically. Here, in this paper, we propose a method to detect and segment moving object from a dynamic background, which contains moving multiple-leaf doors. In addition, the proposed algorithm also takes care of dynamic zoom changes that can occur while shooting a scene. The proposed method uses background-rebuilding with discrete door's position to tackle moving multiple-leaf door backgrounds and image feature comparison to tackle changes in zoom. The experiment results show satisfying segmentation results with high processing speed.
机译:当背景是动态的并且使用的相机可以动态更改其缩放比例时,分割运动对象的挑战就更加艰巨。在本文中,我们提出了一种从动态背景中检测和分割运动对象的方法,该方法包含移动的多扇门。此外,提出的算法还考虑了拍摄场景时可能发生的动态变焦变化。所提出的方法使用具有离散门位置的背景重建来解决移动的多扇门背景,并使用图像特征比较来解决缩放的变化。实验结果表明,分割结果令人满意,处理速度较高。

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