Hybrid Model-based Estimation of Multiple Non-dominant Motions (bibtex)
by Jacobs, Arne, Hermes, Thorsten and Herzog, Otthein
Abstract:
The estimation of motion in videos yields information useful in the scope of video annotation, retrieval and compression. Current approaches use iterative minimization techniques based on intensity gradients in order to estimate the parameters of a 2D transform between successive frames. These approaches rely on good initial guesses of the motion parameters. For single or dominant motion there exist hybrid algorithms that estimate such initial parameters prior to the iterative minimization. We propose a technique for the generation of a set of motion hypotheses using blockmatching that also works in the presence of multiple non-dominant motions. These hypotheses are then refined using iterative techniques.
Reference:
Jacobs, Arne, Hermes, Thorsten and Herzog, Otthein, "Hybrid Model-based Estimation of Multiple Non-dominant Motions", In Proceeding of the 26th DAGM Symposium on Pattern Recognition, pp. 87–94, 2004.
Bibtex Entry:
@INPROCEEDINGS{Jacobsb,
  author = {Jacobs, Arne and Hermes, Thorsten and Herzog, Otthein},
  title = {Hybrid Model-based Estimation of Multiple Non-dominant Motions},
  booktitle = {Proceeding of the 26th DAGM Symposium on Pattern Recognition},
  year = {2004},
  editor = {Rasmussen, Carl Edward and B{\"u}lthoff, Heinrich H. and Sch{\"o}lkopf,
	Bernhard and Giese, Martin A.},
  pages = {87--94},
  month = {September},
  abstract = {The estimation of motion in videos yields information useful in the
	scope of video annotation, retrieval and compression. Current approaches
	use iterative minimization techniques based on intensity gradients
	in order to estimate the parameters of a 2D transform between successive
	frames. These approaches rely on good initial guesses of the motion
	parameters. For single or dominant motion there exist hybrid algorithms
	that estimate such initial parameters prior to the iterative minimization.
	We propose a technique for the generation of a set of motion hypotheses
	using blockmatching that also works in the presence of multiple non-dominant
	motions. These hypotheses are then refined using iterative techniques.},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www.tzi.de/~jarne/jacobsetal04.pdf}
}
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