Thailand loses about 25,000 people every year to road trauma: this motivated this study, which designed and evaluated a simple system to discourage ‘Red Light Running’ – failure to observe red traffic lights. Our system is simple, cheap and flexible – consisting of a single camera, a portable computer and the ability to send images to a mobile phone using the public network. However, to be flexible, cameras were set only 1-2m about the road, which caused many occlusions to be observed – the major challenge for the system software. A rule-based system was used to resolve most occlusions. In our tests, vehicles were completely and correctly tracked in 83% of frames. This was sufficient to allow images of 95% of Red Light Runners to be transmitted to a monitoring station and potentially stopped.Thailand loses about 25,000 people every year to road trauma: this motivated this study, which designed and evaluated a simple system to discourage ‘Red Light Running’ – failure to observe red traffic lights. Our system is simple, cheap and flexible – consisting of a single camera, a portable computer and the ability to send images to a mobile phone using the public network. However, to be flexible, cameras were set only 1-2m about the road, which caused many occlusions to be observed – the major challenge for the system software. A rule-based system was used to resolve most occlusions. In our tests, vehicles were completely and correctly tracked in 83% of frames. This was sufficient to allow images of 95% of Red Light Runners to be transmitted to a monitoring station and potentially stopped.


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    Titel :

    Tracking Vehicles in the Presence of Occlusions


    Beteiligte:
    Morris, John (Autor:in) / Meng, Channa (Autor:in)

    Erscheinungsdatum :

    31.12.2018


    Anmerkungen:

    Mahasarakham International Journal of Engineering Technology; Vol 4 No 2 (2018): July - December; 56-67 ; 2408-1566 ; 2408-1957


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629




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