In this research detection and differentiation between multiple objects is done in real time. Images were captured using SainSmart wide angle camera and image processing was done using Raspberry Pi 3 Model B. Optimization was accomplished by increasing the number of threads being managed within the algorithm. In this paper the image processing algorithm used to detect and differentiate between multiple colored targets is described. This algorithm involves the development of software which captures and filters the color data contained within an image.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiple Objects Detection using HSV


    Beteiligte:


    Erscheinungsdatum :

    01.07.2018


    Format / Umfang :

    290885 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MULTIPLE OBJECTS

    A. A. Bosov / V. M. Ilman / N. V. Khalipova | DOAJ | 2015

    Freier Zugriff

    Improved Traffic Signal Detection for Multiple Lighting Objects

    Yoneda, Keisuke / Suganuma, Naoki / Aldibaja, Mohammad Amro | British Library Online Contents | 2017


    Detection of Multiple Moving Objects using Multiscale MRF with Camera Motion Compensation

    Odobez, J. M. / Bouthemy, P. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994



    Motions of Multiple Objects Detection Based On Video Frames

    Khin Thandar Lwin / Than Htike / Zaw Min Naing | BASE | 2008

    Freier Zugriff