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https://accedacris.ulpgc.es/handle/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: | https://accedacris.ulpgc.es/handle/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: | Conference proceedings |
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