Localisation and Tracking of an Airport’s Approach Lighting System

S.P. Chowdhury; Karen Rafferty; A.K. Das

doi:10.1007/978-3-642-15910-7_3

Localisation and Tracking of an Airport’s Approach Lighting System

S.P. Chowdhury, Karen Rafferty, A.K. Das

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Computer Vision and Graphics: Second International Conference, ICCVG 2010, Warsaw, Poland, September 20-22, 2010, Proceedings, Part I
Publisher	Springer
Pages	19-26
Number of pages	8
ISBN (Electronic)	9783642159107
ISBN (Print)	9783642159091
DOIs	https://doi.org/10.1007/978-3-642-15910-7_3
Publication status	Published - 09 Sept 2010
Event	International Conference on Computer Vision and Graphics - Warsaw, Poland Duration: 01 Sept 2010 → 01 Sept 2010

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computer Vision and Graphics
Country/Territory	Poland
City	Warsaw
Period	01/09/2010 → 01/09/2010

Bibliographical note

Chapter Number: 6374

Access to Document

10.1007/978-3-642-15910-7_3Licence: Unspecified

2 Citations
1 Paper

Modelling 3D camera movement for vibration characterisation and multiple object identification with application to lighting assessment
Rafferty, K., Chowdhury, S. P. & Ferguson, S., 01 Jan 2011, p. 178-183. 6 p.
Research output: Contribution to conference › Paper › peer-review
1 Citation (Scopus)

Cite this

@inproceedings{73d6f3eb6c474d2f8f8b4172fadbbb5e,

title = "Localisation and Tracking of an Airport{\textquoteright}s Approach Lighting System",

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.",

author = "S.P. Chowdhury and Karen Rafferty and A.K. Das",

note = "Chapter Number: 6374; International Conference on Computer Vision and Graphics ; Conference date: 01-09-2010 Through 01-09-2010",

year = "2010",

month = sep,

day = "9",

doi = "10.1007/978-3-642-15910-7_3",

language = "English",

isbn = "9783642159091",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "19--26",

booktitle = "Computer Vision and Graphics: Second International Conference, ICCVG 2010, Warsaw, Poland, September 20-22, 2010, Proceedings, Part I",

}

Chowdhury, SP, Rafferty, K & Das, AK 2010, Localisation and Tracking of an Airport’s Approach Lighting System. in Computer Vision and Graphics: Second International Conference, ICCVG 2010, Warsaw, Poland, September 20-22, 2010, Proceedings, Part I. Lecture Notes in Computer Science, Springer, pp. 19-26, International Conference on Computer Vision and Graphics, Warsaw, Poland, 01/09/2010. https://doi.org/10.1007/978-3-642-15910-7_3

Localisation and Tracking of an Airport’s Approach Lighting System. / Chowdhury, S.P.; Rafferty, Karen; Das, A.K.
Computer Vision and Graphics: Second International Conference, ICCVG 2010, Warsaw, Poland, September 20-22, 2010, Proceedings, Part I. Springer, 2010. p. 19-26 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Localisation and Tracking of an Airport’s Approach Lighting System

AU - Chowdhury, S.P.

AU - Rafferty, Karen

AU - Das, A.K.

N1 - Chapter Number: 6374

PY - 2010/9/9

Y1 - 2010/9/9

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-642-15910-7_3

DO - 10.1007/978-3-642-15910-7_3

M3 - Conference contribution

SN - 9783642159091

T3 - Lecture Notes in Computer Science

SP - 19

EP - 26

BT - Computer Vision and Graphics: Second International Conference, ICCVG 2010, Warsaw, Poland, September 20-22, 2010, Proceedings, Part I

PB - Springer

T2 - International Conference on Computer Vision and Graphics

Y2 - 1 September 2010 through 1 September 2010

ER -

Localisation and Tracking of an Airport’s Approach Lighting System

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Fingerprint

Research output

Modelling 3D camera movement for vibration characterisation and multiple object identification with application to lighting assessment

Cite this