Title: A Computer Vision Approach to Air Flow Analysis
Authors: HEIKKONEN Jukka
Citation: Pattern Recognition Letters vol. 17 p. 369-385
Publication Year: 1997
JRC N°: JRC13461
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC13461
Type: Articles in periodicals and books
Abstract: This paper described a computer vision system for analysing air flow. The main idea of the system in to use a trace gas to visualize the air flow and to determine the air flow by analysing the trace gas and its movement via computer vision and neural network techniques. The analysis process is based on three major stages: first, an image pair series is taken from the traced air flow; second, the 3-D shapes of trace gas objects at each image pair instant are recovered; and third, the air flow velocity field is calculated via the Self-Organising Map from the recovered 3-D surface models of the trace gas objects. The sustem can be used to measure air flow profiles, to determine air flow velocities and volume fluxes, and to estimate how small (e.g. dust) particles move within the flow.
JRC Directorate:Joint Research Centre Historical Collection

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