Unmanned aerial vehicle (UAV) based computer vision system, as a more and more promising option for forest fires surveillance and detection, is now widely employed. In this paper, an image processing method for the application to UAV is presented for the automatic detection of forest fires in infrared (IR) images. The presented algorithm makes use of brightness and motion clues along with image processing techniques based on histogram-based segmentation and optical flow approach for fire pixels detection. First, the histogram-based segmentation is used to extract the hot objects as fire candidate regions. Then, the optical flow method is adopted to calculate motion vectors of the candidate regions. The motion vectors are also further analyzed to distinguish fires from other fire analogues. Through performing morphological operations and blob counter method, a fire can be finally tracked in each IR image. Experimental results verified that the designed method can effectively extract and track fire pixels in IR video sequences.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fire detection using infrared images for UAV-based forest fire surveillance


    Beteiligte:
    Yuan, Chi (Autor:in) / Liu, Zhixiang (Autor:in) / Zhang, Youmin (Autor:in)


    Erscheinungsdatum :

    01.06.2017


    Format / Umfang :

    983333 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    DETC2019-97895 Fire Detection Using Both Infrared and Visual Images With Application to Unmanned Aerial Vehicle Forest Fire Surveillance

    Yuan, Chi / Liu, Zhixiang / Hossain, Anim et al. | British Library Conference Proceedings | 2019


    Forest fire surveillance system and method

    CHOI EUN KYU / PARK SEUNG HA / HONG CHOONG KEY | Europäisches Patentamt | 2024

    Freier Zugriff

    Forest fire detection and estimation of forest fire risk index from SEVIRI synthetic images

    Casanova, J.-L. / European Space Agency / European Organization for the Exploitation of Meteorological Satellites | British Library Conference Proceedings | 2000


    Automated Maneuvering Decision for UAVs in Forest Surveillance and Fire Detection Missions*

    Zhang, Lidong / Mu, Lingxia / Liu, Zhixiang et al. | IEEE | 2018


    Emergency Support Unmanned Aerial Vehicle for Forest Fire Surveillance

    Al Kaff, Abdulla Hussein Abdulrahman / Madridano Carrasco, Ángel / Campos Novoa, Sergio et al. | BASE | 2020

    Freier Zugriff