2.00
Hdl Handle:
http://hdl.handle.net/10547/333824
Title:
An algorithm for accurate taillight detection at night
Authors:
Boonsim, Noppakun; Prakoonwit, Simant
Abstract:
Vehicle detection is an important process of many advance driver assistance system (ADAS) such as forward collision avoidance, Time to collision (TTC) and Intelligence headlight control (IHC). This paper presents a new algorithm to detect a vehicle ahead by using taillight pair. First, the proposed method extracts taillight candidate regions by filtering taillight colour regions and applying morphological operations. Second, pairing each candidates and pair symmetry analysis steps are implemented in order to have taillight positions. The aim of this work is to improve the accuracy of taillight detection at night with many bright spot candidates from streetlamps and other factors from complex scenes. Experiments on still images dataset show that the proposed algorithm can improve the taillight detection accuracy rate and robust under limited light images.
Affiliation:
Department of Computer Science and Technology, University of Bedfordshire
Citation:
Boonsim, N., Prakoonwit, S. (2014) 'An Algorithm for Accurate Taillight Detection at Night' International Journal of Computer Applications 100(12):31-35
Publisher:
Foundation of Computer Science
Journal:
International Journal of Computer Applications
Issue Date:
Aug-2014
URI:
http://hdl.handle.net/10547/333824
DOI:
10.5120/17579-8345
Additional Links:
http://ijcaonline.org/archives/volume100/number12/17579-8345
Type:
Article
Language:
en
ISSN:
0975-8887
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorBoonsim, Noppakunen
dc.contributor.authorPrakoonwit, Simanten
dc.date.accessioned2014-11-07T11:44:46Z-
dc.date.available2014-11-07T11:44:46Z-
dc.date.issued2014-08-
dc.identifier.citationBoonsim, N., Prakoonwit, S. (2014) 'An Algorithm for Accurate Taillight Detection at Night' International Journal of Computer Applications 100(12):31-35en
dc.identifier.issn0975-8887-
dc.identifier.doi10.5120/17579-8345-
dc.identifier.urihttp://hdl.handle.net/10547/333824-
dc.description.abstractVehicle detection is an important process of many advance driver assistance system (ADAS) such as forward collision avoidance, Time to collision (TTC) and Intelligence headlight control (IHC). This paper presents a new algorithm to detect a vehicle ahead by using taillight pair. First, the proposed method extracts taillight candidate regions by filtering taillight colour regions and applying morphological operations. Second, pairing each candidates and pair symmetry analysis steps are implemented in order to have taillight positions. The aim of this work is to improve the accuracy of taillight detection at night with many bright spot candidates from streetlamps and other factors from complex scenes. Experiments on still images dataset show that the proposed algorithm can improve the taillight detection accuracy rate and robust under limited light images.en
dc.language.isoenen
dc.publisherFoundation of Computer Scienceen
dc.relation.urlhttp://ijcaonline.org/archives/volume100/number12/17579-8345en
dc.subjectvehicle detectionen
dc.subjecttaillighten
dc.subjectnighten
dc.subjectadvance driver assistance systemen
dc.titleAn algorithm for accurate taillight detection at nighten
dc.typeArticleen
dc.contributor.departmentDepartment of Computer Science and Technology, University of Bedfordshireen
dc.identifier.journalInternational Journal of Computer Applicationsen
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