使用动态颜色纹理的运动检测

I. Bellamine, H. Silkan, A. Tmiri
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摘要

色彩兴趣点检测是图像处理和计算机视觉领域的一个重要研究方向。一般来说,色彩的使用增加了兴趣点的独特性。在本文中,我们提出将颜色兴趣点的检测扩展到时间方面。对于颜色序列,我们提出了一个扩展版本的颜色兴趣点检测器来检测他们所谓的“颜色时空兴趣点检测器”(CSTIP)。为了提高CSTIP特征提取的鲁棒性,我们提出了一种基于动态分解模型的预处理步骤,可以将视频分解为动态颜色纹理分量和动态颜色结构分量。利用所提出的颜色时空兴趣点检测算法,计算与动态颜色纹理(DCT)分量相关联的新的颜色时空兴趣点(CSTIP)。实验结果来自非常不同类型的视频,即体育视频和动画电影。
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Motion Detection Using the Dynamic Color Texture
Color interest point detection is an important research area in the field of image processing and computer vision. In general, the use of color increases the distinctiveness of interest points. In this article we propose to extend the detection of the color interest point to the temporal aspect. For color sequences, we propose an extension version of the Color interest point detector to detect what they call "Color Space- Time Interest Points detector" (CSTIP). To increase the robustness of CSTIP features extraction, we suggest a pre-processing step which is based on a dynamic decomposition model and can decomposes the video into the dynamic color texture component and the dynamic color structure component. We compute the new Color Space Time Interest Points (CSTIP) associated to the dynamic color texture (DCT) components by using the proposed algorithm of the detection of Color Space- Time Interest Points. Experimental results are obtained from very different types of videos, namely sport videos and animation movies.
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