Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48820
Title: Real time vehicle recognition: A novel method for road detection
Authors: Peñate Sánchez, Adrián
Quesada-Arencibia, Alexis 
Travieso González, Carlos M. 
UNESCO Clasification: 120304 Inteligencia artificial
3327 Tecnología de los sistemas de transporte
Keywords: Automatic road detection
Intelligent transport systems
real time vehicle recognition
Issue Date: 2012
Journal: Lecture Notes in Computer Science 
Conference: 13th International Conference on Computer Aided Systems Theory (EUROCAST) 
Abstract: Knowing the location of the road in an intelligent traffic systems is one of the most used solutions to ease vehicle detection. For this purpose we propose a vehicle recognition algorithm which performs a real time automatic detection of the zones which vehicles occupy. Such algorithm is capable of functioning under extreme conditions such as low resolution, low capture angle and gray scale images.
URI: http://hdl.handle.net/10553/48820
ISBN: 9783642275784
ISSN: 0302-9743
DOI: 10.1007/978-3-642-27579-1_46
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 6928 LNCS, p. 359-364
Appears in Collections:Actas de congresos
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