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Vehicle Type Detection by Convolutional Neural Networks
dc.contributor.author | Molina-Cabello, Miguel Ángel | |
dc.contributor.author | Luque-Baena, Rafael Marcos | |
dc.contributor.author | López-Rubio, Ezequiel | |
dc.contributor.author | Thurnhofer-Hemsi, Karl | |
dc.date.accessioned | 2017-07-05T10:54:50Z | |
dc.date.available | 2017-07-05T10:54:50Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | J.M. Ferrández Vicente et al. (Eds.): IWINAC 2017, Part II, LNCS 10338, pp. 268–278, 2017. DOI: 10.1007/978-3-319-59773-728 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10630/14114 | |
dc.description.abstract | In this work a new vehicle type detection procedure for traffic surveillance videos is proposed. A Convolutional Neural Network is integrated into a vehicle tracking system in order to accomplish this task. Solutions for vehicle overlapping, differing vehicle sizes and poor spatial resolution are presented. The system is tested on well known benchmarks, and multiclass recognition performance results are reported. Our proposal is shown to attain good results over a wide range of difficult situations. | es_ES |
dc.description.sponsorship | Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Redes neuronales (Informática) | es_ES |
dc.subject.other | Foreground detection | es_ES |
dc.subject.other | Background modeling | es_ES |
dc.subject.other | Convolutional neural networks | es_ES |
dc.subject.other | Probabilistic self-organizing maps | es_ES |
dc.subject.other | Background features | es_ES |
dc.title | Vehicle Type Detection by Convolutional Neural Networks | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.centro | E.T.S.I. Informática | es_ES |
dc.relation.eventtitle | International Work-Conference on the Interplay between Natural and Artificial Computation 2017 | es_ES |
dc.relation.eventplace | La Coruña | es_ES |
dc.relation.eventdate | Junio 2017 | es_ES |
dc.identifier.orcid | http://orcid.org/0000-0001-8231-5687 | es_ES |
dc.cclicense | by-nc-nd | es_ES |