Detection of moving objects in image sequences using 3D velocity filters
Sam Schauland; Joerg Velten; Anton Kummert
International Journal of Applied Mathematics and Computer Science (2008)
- Volume: 18, Issue: 1, page 21-31
- ISSN: 1641-876X
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topSam Schauland, Joerg Velten, and Anton Kummert. "Detection of moving objects in image sequences using 3D velocity filters." International Journal of Applied Mathematics and Computer Science 18.1 (2008): 21-31. <http://eudml.org/doc/207861>.
@article{SamSchauland2008,
abstract = {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.},
author = {Sam Schauland, Joerg Velten, Anton Kummert},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {multidimensional signal processing; velocity filters; motion filters; object detection; wave digital filters; velocity filter; visual scene signal processing},
language = {eng},
number = {1},
pages = {21-31},
title = {Detection of moving objects in image sequences using 3D velocity filters},
url = {http://eudml.org/doc/207861},
volume = {18},
year = {2008},
}
TY - JOUR
AU - Sam Schauland
AU - Joerg Velten
AU - Anton Kummert
TI - Detection of moving objects in image sequences using 3D velocity filters
JO - International Journal of Applied Mathematics and Computer Science
PY - 2008
VL - 18
IS - 1
SP - 21
EP - 31
AB - 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.
LA - eng
KW - multidimensional signal processing; velocity filters; motion filters; object detection; wave digital filters; velocity filter; visual scene signal processing
UR - http://eudml.org/doc/207861
ER -
References
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