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

Authors:
Tim Schwerdtfeger;Jörg Velten;Anton Kummert
Affiliations:
Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany 42119;Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany 42119;Faculty of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany 42119
Venue:
Multidimensional Systems and Signal Processing
Year:
2014

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Abstract

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.