Vehicle detection has been applied in many fields, such as intelligent transportation, video surveillance, driving assistance system and so on. In the case of fine weather, the state-of-the-art vehicle-detection systems may achieve good performance. However, the performance has a substantial decline in bad weathers, such as fog, night and so on. Therefore, improving the performance of vehicle-detection systems in different weather conditions becomes an important issue in vehicle-detection system. In the fog or night, the quality of the images is reduced. In this paper, we propose some algorithms of image defogging and color enhancement in order to improve the performance of vehicle detection. The result of vehicle detection get much better after image processing in bad weathers.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving the performance of vehicle detection system in bad weathers


    Contributors:
    Xuerui Dai, (author) / Xue Yuan, (author) / Jing Zhang, (author) / Liping Zhang, (author)


    Publication date :

    2016-10-01


    Size :

    1440929 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    All weathers beckon helicopters

    Online Contents | 2000


    Rhätische Bahn weathers the recession

    Hughe, Murray | IuD Bahn | 2009


    New resin weathers the elements

    Automotive engineering | 1995


    Paris weathers the storm

    Online Contents | 2009


    France weathers the storm

    Online Contents | 2003