Computer vision-based traffic flow monitoring is of major importance for enforcing traffic management policies. Information such as the number of vehicles passing on a road per time unit, or vehicles' turning rates at intersections are exploited by traffic management policies to supervise traffic-light timings. Computer vision-based traffic flow monitoring requires extraction of moving vehicles from traffic scenes in real time. To accomplish this task, efficient algorithms must be used and effective, low-cost hardware implementation must be pursued. This paper first describes the algorithms used in the VTTS (vehicular traffic tracking system) to achieve segmentation of moving vehicles. Then, hardware implementation on a re-programmable FPGA-based board is described in detail.


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    Title :

    Real-time detection of moving vehicles


    Contributors:
    Cucchiara, R. (author) / Piccardi, M. (author) / Prati, A. (author) / Scarabottolo, N. (author)


    Publication date :

    1999-01-01


    Size :

    78378 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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