This paper presents a novel method for semantic segmentation and object recognition in a road scene using a hierarchical bag-of-textons method. Current driving-assistance systems rely on multiple vehicle-mounted cameras to perceive the road environment. The proposed method relies on integrated color and near-infrared images and uses the hierarchical bag-of-textons method to recognize the spatial configuration of objects and extract contextual information from the background. The histogram of the hierarchical bag-of-textons is concatenated to textons extracted from a multiscale grid window to automatically learn the spatial context for semantic segmentation. Experimental results show that the proposed method has better segmentation accuracy than the conventional bag-of-textons method. By integrating it with other scene interpretation systems, the proposed system can be used to understand road scenes for vehicle environment perception.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiband Image Segmentation and Object Recognition for Understanding Road Scenes


    Beteiligte:
    Kang, Y. (Autor:in) / Yamaguchi, K. (Autor:in) / Naito, T. (Autor:in) / Ninomiya, Y. (Autor:in)


    Erscheinungsdatum :

    2011-12-01


    Format / Umfang :

    1848468 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Attribute-aware Semantic Segmentation of Road Scenes for Understanding Pedestrian Orientations

    Sulistiyo, M. D. / Kawanishi, Y. / Deguchi, D. et al. | IEEE | 2018


    Understanding object relations in traffic scenes

    Hensel, Irina / Bachmann, Alexander / Hummel, Britta et al. | Tema Archiv | 2010


    Fast Multi Model Motion Segmentation on Road Scenes

    Sandhu, Mahtab / Haque, Nazrul / Sharma, Avinash et al. | IEEE | 2018


    Model-Based Object Tracking in Monocular Image Sequences of Road Traffic Scenes

    Koller, D. / Daniilidis, K. / Nagel, H.-H. | British Library Online Contents | 1993