Detecting motion using the Structure-Texture Image Decomposition and Space-Time Interest Points

I. Bellamine, H. Tairi
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引用次数: 1

Abstract

Among all the features which can be extracted from videos, we propose to use Space-Time Interest Points (STIP), these ones are particularly interesting because they are simple and robust. They allow a good characterization of a set of regions of interest corresponding to moving objects in a three-dimensional observed scene. In this paper, we propose to apply the algorithm of the detection of spatiotemporal interest points for a good detection of moving objects on both components of the decomposition: a geometric structure component and a texture component. Proposed results are obtained from very different types of videos, namely sport videos and animation movies.
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基于结构-纹理图像分解和时空兴趣点的运动检测
在所有可以从视频中提取的特征中,我们提出使用时空兴趣点(STIP),这些特征因其简单和鲁棒性而特别有趣。它们可以很好地表征与三维观察场景中移动物体相对应的一组感兴趣的区域。在本文中,我们提出将时空兴趣点检测算法应用于分解的两个组成部分:几何结构成分和纹理成分,以很好地检测运动物体。所提出的结果来自于非常不同类型的视频,即体育视频和动画电影。
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