Localisation and tracking of an airport's approach lighting system

Authors:
Shyama Prosad Chowdhury;Karen Rafferty;Amit Kumar Das
Affiliations:
School of EEECS, Queen's University Belfast, UK;School of EEECS, Queen's University Belfast, UK;CST Dept., Bengal Engineering and Science University, Shibpur, India
Venue:
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Year:
2010

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Abstract

In this paper, we develop novel methods for extracting and tracking regions of interest from a given set of images. In particular, it is our aim to extract information about luminaires making up an airport landing lighting pattern in order to assess their performance. Initially to localise the luminaires we utilise sub pixel information to accurately locate the luminaire edges. Once the luminaires are located within the data, they are then tracked. We propose a new tracking algorithm based on control points and building blocks. Tests performed on a set of 422 images taken during an approach to an airport in Northern Ireland have shown that when combined the localisation and tracking techniques are very effective when compared to standard techniques (KLT and SIFT) as well as to model based matching technique for this application.