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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/7109
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| Title: | Multi-resolution image analysis for vehicle detection |
| Author(s): | Hilario, Cristina
Collado, Juan Manuel
Armingol, José M.
Escalera, Arturo de la |
| Publisher: | Springer |
| Issued date: | May-2005 |
| Citation: | Pattern recognition and image analysis : Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceedings, Part I, 2005, p. 579-586 |
| URI: | http://hdl.handle.net/10016/7109 |
| ISBN: | 978-3-540-26153-7 |
| ISSN: | 0302-9743 (Print)
1611-3349 (Online) |
| DOI: | 10.1007/11492429_70 |
| Description: | Proceeding of: Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005 |
| Abstract: | Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in realtime. Examples of real images are shown to validate the algorithm. |
| Review: | PeerReviewed |
| Serie / Nº.: | Lecture notes in computer science, vol. 3522 |
| Publisher version: | http://dx.doi.org/10.1007/11492429_70 |
| Rights: | © Springer-Verlag |
| Appears in Collections: | DISA - LSI - Artículos en Congresos Internacionales
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