RT Journal Article
T1 Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images
A1 Molina-Cabello, Miguel Ángel
A1 Luque-Baena, Rafael Marcos
A1 López-Rubio, Ezequiel
A1 Thurnhofer-Hemsi, Karl
K1 Videovigilancia
K1 Vigilancia electrónica
AB The automatic detection and classification of vehicles in traffic sequences is a typical task which is carried out in many practical video surveillance systems. The advent of deep learning has facilitated the design of these systems. However, limitations in the resolution of the surveillance cameras imply that the vehicles are not clearly defined in the incoming video frames, which hampers the classification performance of deep learning Convolutional Neural Networks. In this paper a method is presented to overcome this challenge, which is based on several steps. An initial segmentation is followed by a postprocessing of the segmented images to solve vehicle overlapping and differing vehicle sizes. Then, a super resolution algorithm is employed to improve the definition of the image windows to be supplied to the neural networks. Finally, the outputs of an ensemble of such networks is integrated in order to obtain an improved recognition performance by the consensus of the networks of the ensemble.Several computational tests using well-known benchmarks demonstrate the effectiveness of the proposal, even in hard situations.Therefore, our vehicle classification system overcomes many limitations of naive application of Convolutional Neural Networks, since each proposed subsystem tackles different difficulties which arise in real traffic video data.
PB IOS Press
YR 2018
FD 2018
LK https://hdl.handle.net/10630/29688
UL https://hdl.handle.net/10630/29688
LA eng
NO Molina-Cabello, Miguel A. et al. ‘Vehicle Type Detection by Ensembles of Convolutional Neural Networks Operating on Super Resolved Images’. 1 Jan. 2018 : 321 – 333. DOI: 10.3233/ICA-180577
NO Copyright Owner Versión definitiva disponible en el DOI indicado.Molina-Cabello, M. A., Luque-Baena, R. M., Lopez-Rubio, E., & Thurnhofer-Hemsi, K. (2018). Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images. Integrated Computer-Aided Engineering, 25(4), 321-333. DOI: 10.3233/ICA-180577
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 24 ene 2026