Abstract In computer vision research, one of the capabilities of establishing an autonomous UAV is the detection of rigid and non-rigid object. Moving object detection with moving cameras from UAV aerial images is still an unsolved issue due to clutter and rural background contained in the images, even and uneven illumination changes, static and moving objects and motion of camera. This paper presents a conceptual framework for moving object detection with moving camera from UAV aerial images combined with the frame difference and segmentation approach together. Our focus is the human as rigid and vehicle as non rigid object detection where the camera can be mounted on the vehicle or other movable platform. It is expected that the proposed conceptual framework performs well under different situations for uneven environments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework




    Erscheinungsdatum :

    2013-01-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework

    Saif, A.F.M.S. / Prabuwono, A.S. / Mahayuddin, Z.R. | British Library Conference Proceedings | 2013


    A real-time object detection framework for aerial imagery using deep neural networks and synthetic training images

    Narayanan, Priya / Borel-Donohue, Christoph / Lee, Hyungtae et al. | SPIE | 2018


    Real time object detection for an unmanned aerial vehicle using an FPGA based vision system

    Price, A. / Pyke, J. / Ashiri, D. et al. | Tema Archiv | 2006


    Robust Real-time Vision-based Aircraft Tracking From Unmanned Aerial Vehicles.

    Fu, Changhong / Carrio Fernández, Adrián / Olivares Méndez, Miguel Ángel et al. | BASE | 2014

    Freier Zugriff

    Automatic aircraft object detection in aerial images

    Li, Yingchun / Chen, Hexin / Mei, Yunhuan et al. | SPIE | 2003