An Optimization Framework for Tracking Droplets in Fire Water Spray Images
Conference object, Peer reviewed
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Original versionLundberg, 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 http://dx.doi.org/10.3384/ecp15119331
The 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.