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dc.contributor.authorLundberg, Joachim
dc.contributor.authorLysaker, Ola Marius
dc.date.accessioned2016-03-16T08:57:25Z
dc.date.accessioned2017-04-19T12:52:08Z
dc.date.available2016-03-16T08:57:25Z
dc.date.available2017-04-19T12:52:08Z
dc.date.issued2015-11-25
dc.identifier.citationLundberg, J., & Lysaker, O. M. (2015). An Optimization Framework for Tracking Droplets in Fire Water Spray Images. Paper presented at the 56th Conference on Simulation and Modelling (SIMS 56), October, 7-9, 2015, Linköping University, Sweden. doi:http://dx.doi.org/10.3384/ecp15119331
dc.identifier.urihttp://hdl.handle.net/11250/2438484
dc.description.abstractThe properties of the flow from fire water nozzles, like droplet size and velocity distribution within the spray, are known to influence the fire suppression efficiency. To analyze the flow properties, the water spray is recorded with the use of a high-speed camera and laser light. Typically, each image of the water spray may contain tens of droplets, yielding a huge number of possible droplets paths between adjacent frames, i.e. with n droplets in two subsequent frames generates n^2 possible droplets paths with n! possible configurations using brute-force approach. In this paper, we propose an optimization method based on the Hungarian algorithm to calculate the droplet paths. Using this framework, each droplet path is optimized with respect to droplet position, droplet size and droplet velocity.
dc.language.isoeng
dc.publisherLinköping University Electronic Press
dc.subjectdroplets
dc.subjectimage processing
dc.subjecttracking
dc.titleAn Optimization Framework for Tracking Droplets in Fire Water Spray Images
dc.typeConference object
dc.typePeer reviewed
dc.description.versionPublished version
dc.subject.nsi562
dc.identifier.doihttp://dx.doi.org/10.3384/ecp15119331


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