A good traffic monitoring system should be able to detect, count and classify moving vehicles. Vehicle classification is an important task that can provide information about road users and implicitly take decisions that can reduce congestion for example. This paper presents a new classification approach for moving vehicles. First moving vehicles are detected using a background subtraction approach, then morphological operators are used to reduce the false regions and to remove moving shadows and finally classification is done using the invariant Charlier moments. The performance of the proposed approach is evaluated on real road traffic sequences in comparison of the use of the moments of Hu.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Road traffic: Vehicle detection and classification


    Beteiligte:


    Erscheinungsdatum :

    01.04.2017


    Format / Umfang :

    376538 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Traffic Road Sign Detection and Classification

    Mehdi Fartaj / Sedigheh Ghofrani | DOAJ | 2024

    Freier Zugriff

    Road traffic sign detection and classification

    Escalera, A. de la / Moreno, L.E. / Salichs, M.A. et al. | Tema Archiv | 1997


    Vehicle-road cooperative road traffic system

    ZHANG KUN / ZHU XIAOLONG / WANG HAO | Europäisches Patentamt | 2021

    Freier Zugriff

    Road, vehicle and traffic

    Engineering Index Backfile | 1938


    Wireless Magnetic Sensor Network for Road Traffic Monitoring and Vehicle Classification

    VELISAVLJEVIC Vladan / CANO PONS EDUARDO / DYO Vladimir et al. | BASE | 2016

    Freier Zugriff