Various studies have been conducted to detect objects in urban areas by applying machine learning algorithms to UAV high-resolution images. However, most vehicle detection studies have limitations in that vehicle detection is performed as a bounding box instead of instance segmentation. Since instance segmentation requires labor-intensive labeling work of each object to train individual objects, research on how to perform unsupervised automatic instance segmentation is needed. Therefore, this study proposed unsupervised SVM classification of the vehicle bounding boxes in UAV images for instance segmentation. As a result of the extraction, it was confirmed that the vehicle could be detected with an accuracy of 89%. It was also confirmed that the vehicle could be detected even if the spectral characteristics within the vehicle were significantly different.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Unsupervised vehicle extraction of bounding boxes in UAV images


    Beteiligte:
    Erbertseder, Thilo (Herausgeber:in) / Chrysoulakis, Nektarios (Herausgeber:in) / Zhang, Ying (Herausgeber:in) / Yeom, Junho (Autor:in) / Han, Youkyung (Autor:in)

    Kongress:

    Remote Sensing Technologies and Applications in Urban Environments VIII ; 2023 ; Amsterdam, Netherlands


    Erschienen in:

    Proc. SPIE ; 12735


    Erscheinungsdatum :

    19.10.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    BEYOND BOUNDING BOXES: USING BOUNDING SHAPES FOR REAL-TIME 3D VEHICLE DETECTION FROM MONOCULAR RGB IMAGES

    Gählert, Nils / Wan, Jun-Jun / Weber, Michael et al. | British Library Conference Proceedings | 2019



    Document layout structure extraction using bounding boxes of different entitles

    Liang, J. / Ha, J. / Haralick, R.M. et al. | IEEE | 1996


    Document Layout Structure Extraction Using Bounding Boxes of Different Entities

    Liang, J. / Ha, J. / Haralick, R. M. et al. | British Library Conference Proceedings | 1996