As the main body of modern traffic, transport vehicle is the focus of intelligent transportation systems. For three typical vehicles (including the automobile, motorcycle and bicycle), this paper proposes a new transport vehicle recognition system via class dictionary learning. For solving problems in the traditional transport vehicle recognition under sparse recognition framework, our method use SURF feature and class dictionary learning as the core. By the experiment with heterogeneous database, the effectiveness and feasibility of this method has been verified.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle sparse recognition via class dictionary learning


    Beteiligte:
    Ji-xin Liu, (Autor:in) / Ning Sun, (Autor:in) / Guang Han, (Autor:in) / Haigen Yang, (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    4716373 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation

    Cao, X. / Wei, X. / Han, Y. et al. | British Library Online Contents | 2013


    Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

    Yang, M. / Zhang, L. / Feng, X. et al. | British Library Online Contents | 2014


    A novel double-layer sparse representation approach for unsupervised dictionary learning

    Xu, Mai / Wang, Zulin | British Library Online Contents | 2016


    A novel double-layer sparse representation approach for unsupervised dictionary learning

    Xu, Mai / Wang, Zulin | British Library Online Contents | 2016