At present, moving vehicle detection on airborne platform has been an important technology for urban traffic surveillance. In such a situation, most commonly used methods (e.g. image subtraction) could hardly work well because of some additional difficulties such as slow movement of vehicles and jam. This paper proposed a new moving vehicle detection method named MVD-RD for airborne urban traffic surveillance. First, the non-road regions are extracted using road detection technique. Secondly, the non-road regions with no vehicles are removed according to their size. As a result of this two-stage regions shrinkage, the detection area reduces a lot. Finally, to the reduced area, image subtraction is used to get all moving regions and then moving vehicles can be accurately filtered in a simple way. The experimental results show that, compared with traditional image subtraction methods used in airborne moving vehicle detection, the proposed MVD-RD method achieves much better performance in detection rate, false alarm rate, and detection speed.


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    Titel :

    Airborne moving vehicle detection for urban traffic surveillance


    Beteiligte:
    Lin, Renjun (Autor:in) / Cao, Xianbin (Autor:in) / Xu, Yanwu (Autor:in) / Wei, Chuangxian (Autor:in) / Qiao, Hong (Autor:in)


    Erscheinungsdatum :

    01.10.2008


    Format / Umfang :

    472614 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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