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A multidimensional wave digital filter bank for video-based motion analysis

机译:用于基于视频的运动分析的多维波数字滤波器组

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摘要

Multidimensional wave digital filters (MDWDF) exhibit the same desirable properties as 1D WDFs, most notably including passivity and therefore guaranteed stability as well as high robustness. A possible application for such MDWDFs may be found in motion analysis of image sequences by means of filters with fan-shaped transfer functions, where content with specific movement information can be extracted. For that matter, a parallel filter bank is needed to differentiate object motion into separate classes. In this paper, a new specialized MDWDF fan filter structure is introduced, possessing both reduced computational complexity and memory requirements compared to existing approaches. Additionally, part of the processing can be shared among all bands, further increasing efficiency.
机译:多维波数字滤波器(MDWDF)具有与1D WDF相同的理想特性,最显着的是包括无源性,因此保证了稳定性以及高鲁棒性。可以通过具有扇形传递函数的滤波器在图像序列的运动分析中找到此类MDWDF的可能应用,其中可以提取具有特定运动信息的内容。为此,需要一个并行的滤波器组来将对象运动区分为单独的类。本文介绍了一种新型的专用MDWDF风扇滤波器结构,与现有方法相比,它既降低了计算复杂度,又降低了内存需求。另外,部分处理可以在所有频带之间共享,从而进一步提高了效率。

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