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Pattern Analysis and Applications
Erschienen in: Pattern Analysis and Applications 4/2012

01.11.2012 | Theoretical Advances

A framework for computing asset-sighting distance

verfasst von: Tom Warsop, Sameer Singh

Erschienen in: Pattern Analysis and Applications | Ausgabe 4/2012

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Abstract

Safety critical railway assets need to be visible from prescribed distances, ensuring safety. Traditional methods for measuring these sighting distances involve manual labour and disruption of rail services. Drawing parallels with other areas, efficiency and cost of such a task can be improved with automation. Hence, in this work, we describe a framework providing such automation, using image frames captured from video equipment as input. Any such framework needs to meet a set of associated challenges, including: determining the image position of decreasing sized assets as they appear farther from the observer, extracting three-dimensional positioning information (relative to motion) from two-dimensional video information and determining when an asset can no longer be seen (i.e. the sighting distance). Results show that the methods included in this framework perform better than a traditional method and information regarding asset-sighting distance is accurately computed.
Vorheriger Artikel Trajectory clustering in CCTV traffic videos using probability product kernels with hidden Markov models
Nächster Artikel Offline recognition of handwritten Bangla characters: an efficient two-stage approach

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Metadaten
Titel
A framework for computing asset-sighting distance
verfasst von
Tom Warsop
Sameer Singh
Publikationsdatum
01.11.2012
Verlag
Springer-Verlag
Erschienen in
Pattern Analysis and Applications / Ausgabe 4/2012
Print ISSN: 1433-7541
Elektronische ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-012-0268-8

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