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  • 标题:Detection of moving objects in image sequences using 3D velocity filters
  • 本地全文:下载
  • 作者:Sam Schauland ; Joerg Velten ; Anton Kummert
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2008
  • 卷号:18
  • 期号:1
  • DOI:10.2478/v10006-008-0002-2
  • 出版社:De Gruyter Open
  • 摘要:A movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if the n -D system is carefully adapted to the analyzed problem. In this paper, the fundamental principles of visual scene analysis by linear multidimensional filters are examined with respect to possible sources of degradation. The extraction of movement information and its practical use are demonstrated using a wave digital filter (WDF) implementation
  • 关键词:multidimensional signal processing; velocity filters; motion filters; object detection; wave digital filters
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