Safety of aircraft requires resiliency from onboard and off-board threats that could come from natural or man-made disturbances. Maintaining situation awareness requires monitoring and coordination of threats from the air and the ground. Threat detection of people, vehicles, and person-vehicle interactions of possible harm to an aircraft operations is a difficult problem due to the complexity of the coverage area, varying sensor capabilities (e.g., resolutions), and cultural factors of disruption. Methods and techniques can be incorporated to aid analysts (e.g., airport traffic controllers) to track and identify entities using modern large scale visual sensors such as the Wide Area Motion Imagery (WAMI) systems. Such systems typically produce an overwhelmingly large amount of information. The lack of computationally efficient algorithms has become a bottleneck for utilizing WAMI data in surveillance. To facilitate the application of such surveillance system development for safe operations, in this paper, three different strategies are implemented based on the on-board multicore technology to speed up video tracking algorithms. A complete tool chain to implement the video tracking, such as registration, detection, and multiple target association, is presented. Experimental results are illustrated. We demonstrate aircraft ground monitoring using the Columbus Large Image Format (CLIF) dataset to show the performance improvement by using the proposed high performance computing enabled video tracking algorithm to facilitate safe air travel.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Aircraft ground monitoring with high performance computing multicore enabled video tracking


    Beteiligte:
    Jia, Bin (Autor:in) / Ling, Haibin (Autor:in) / Blasch, Erik (Autor:in) / Sheaff, Carolyn (Autor:in) / Chen, Genshe (Autor:in) / Wang, Zhonghai (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    1015480 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Aircraft ground monitoring with high performance computing multicore enabled video tracking

    Jia, Bin / Ling, Haibin / Blasch, Erik et al. | IEEE | 2014

    Freier Zugriff

    High performance enabled space object tracking via cloud computing

    Wei, Sixiao / Jia, Bin / Chen, Zhijiang et al. | IEEE | 2018


    SYSTEM AND METHOD FOR DAMAGE TRACKING AND MONITORING DURING GROUND HANDLING OF AIRCRAFT

    FUSS TIM / ALONSO-TABARES DIEGO | Europäisches Patentamt | 2016

    Freier Zugriff

    System and method for damage tracking and monitoring during ground handling of aircraft

    FUSS TIM / ALONSO-TABARES DIEGO | Europäisches Patentamt | 2016

    Freier Zugriff

    IoT-Enabled Monitoring of Prefabricated Drain Performance for Ground Improvement—A Review

    Shrivastava, Ruchi Pankaj / Shroff, A. V. | Springer Verlag | 2024