@CONFERENCE\{IMM1995-01116,
    author       = "R. Larsen",
    title        = "Estimation of Airflow in livestock Buildings.",
    year         = "1995",
    keywords     = "markov random fields, optical flow",
    pages        = "213-210",
    booktitle    = "Proceedings of the 4th Danish Conference on Pattern Recognition and Image Analysis ({DANKOMB,} {DSAGM} yearly meeting), Aug. 14-15",
    volume       = "",
    series       = "{DIKU} Rapport 95/17",
    editor       = "Peter Johansen",
    publisher    = "Dept. of Computer Science (DIKU), University of Copenhagen",
    organization = "",
    address      = "Universitetsparken {1,} {DK-}2100 K{\o}benhavn {\O}",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/1116-full.html",
    abstract     = "The well-being of the animals (e.g. pigs) in livestock buildings is
contingent on adequate ventilation. Depending on the construction
of the ventilation system draught may be introduced into the buildings.
Obviously this is an unwanted effect, that might lead to decreasing
growth of and increasing sickness among the livestock.
Therefore it is of interest to estimate flow vector fields
corresponding to the airflow introduced by a given ventilation system.
By introducing particles (e.g. smoke or soapbubles) into the air-inlets
of a model of a livestock building, the airflow in an
laser-illuminated plane may be visualized. Based of sequences of images
recorded of this plane local measurements of the velocity field
are obtained by analysis of the local energy distribution, which is
sampled using a set of {3-D} spatio-temporal Gabor filters.
We will show how physically inspired a priori distribution of the
flow field may be used to integrate the local observations to
a smooth field.",
    isbn_issn    = "{ISSN} 0107-8283"
}