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Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors

机译：使用来自全局运动向量的摄像机路径的内窥镜视频稳定

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Many algorithms for video stabilization have been proposed so far. However, not many digital video stabilization procedures for endoscopic videos are discussed. Endoscopic videos contain immense shakes and distortions as a result of some internal factors like body movements or secretion of body fluids as well as external factors like manual handling of endoscopic devices, introduction of surgical devices into the body, luminance changes etc.. The feature detection and tracking approaches that successfully stabilize the non-endoscopic videos might not give similar results for the endoscopic videos due to the presence of these distortions. Our focus of research includes developing a stabilization algorithm for such videos. This paper focusses on a special motion estimation method which uses global motion vectors for tracking applied to different endoscopic types (while taking into account the endoscopic region of interest). It presents a robust video processing and stabilization technique that we have developed and the results of comparing it with the state-of-the-art video stabilization tools. Also it discusses the problems specific to the endoscopic videos and the processing techniques which were necessary for such videos unlike the real-world videos.
机译：到目前为止已经提出了许多用于视频稳定的算法。但是，讨论了内窥镜视频的许多数字视频稳定程序。内窥镜视频含有巨大的摇晃和扭曲，因为某些内部因素，如身体流体的身体运动和分泌物，如手动处理内窥镜装置，外科手术器件进入身体，亮度变化等。特征检测并且跟踪成功稳定非内窥镜视频的方法可能由于这些扭曲的存在而没有给出内窥镜视频的类似结果。我们的研究焦点包括开发此类视频的稳定算法。本文侧重于特殊运动估计方法，该方法使用全局运动向量跟踪应用于不同的内窥镜类型（考虑到内窥镜区域的同时）。它提出了一种强大的视频处理和稳定技术，我们开发了一种与最先进的视频稳定工具比较的结果。此外，它还讨论了对内窥镜视频特异的问题以及与现实世界视频不同的视频所需的处理技术。

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