Automation of vehicle classification is essential in the establishment of effective Intelligent Transportation Systems (ITS). Based on the MIOvision Traffic Camera Dataset (MIO-TCD), this paper categorizes the types of vehicles as car, bus, van, light truck, motorcycle and multi-axle truck. The classification of surveillance images is achieved using an ensemble of Deep Networks. Three networks are trained separately to make up the deep learning ensemble model with ConvNet, LeNet and EfficientNet achieving 89%, 68% and 87% classification accuracy, respectively. Results of experiments unveil that the ensemble of networks outperforms the individual networks. The ensemble of networks achieves 92.77%, which is high when compared to the performance based on genetic method in the recent literature.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Ensemble Deep Learning Models for Vehicle Classification in Motorized Traffic Analysis


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:


    Publication date :

    2022-09-23


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    MOTORIZED VEHICLE

    RANSENBERG ABRAHAM-NINO / RTSIELY EYAL / BAR EREZ ARIK et al. | European Patent Office | 2022

    Free access

    MOTORIZED VEHICLE

    EVANS BRYCE R / RODRIGUEZ WILLIAM B / TAYLOR SCOTT D et al. | European Patent Office | 2020

    Free access

    Motorized Vehicle

    EVANS BRYCE R / RODRIGUEZ WILLIAM B / TAYLOR SCOTT D et al. | European Patent Office | 2020

    Free access

    Transportation and loading assembly for motorized traffic vehicle

    MARTIN KEITH | European Patent Office | 2023

    Free access

    Motorized vehicle

    CHAMPAGNE ROCH / LAMBERT MAXIM / LÉPINE JEAN-FRANCOIS | European Patent Office | 2022

    Free access