Camera based fixed systems are routinely used for monitoring highway traffic. For this purpose inductive loops and microwave sensors are mainly used. Both techniques achieve very good counting accuracy and are capable of discriminating trucks and cars. However pedestrians and cyclists are mostly counted manually. In this paper, we describe a new camera based automatic system that utilizes Kalman filtering in tracking and Learning Vector Quantization (LVQ) for classifying the observations to pedestrians and cyclists. Both the requirements for such systems and the algorithms used are described. The tests performed show that the system achieves around 80%-90% accuracy in counting and classification.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A real-time system for monitoring of cyclists and pedestrians


    Contributors:
    Heikkila, J. (author) / Silven, O. (author)


    Publication date :

    1999


    Size :

    8 Seiten, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    A real-time system for monitoring of cyclists and pedestrians

    Heikkila, J. / Silven, O. | British Library Online Contents | 2004


    A real-time system for monitoring of cyclists and pedestrians

    Heikkila, J. / Silven, O. | Tema Archive | 2004


    Underpasses for pedestrians and cyclists

    Voordt, D.J.M. Van Der / Wegen, H.B.R. Van | Taylor & Francis Verlag | 1983



    Improved safety of pedestrians and cyclists

    Wismans,J.S. / Janssen,E.G. / TNO Crash-Safety REs.Centre,NL | Automotive engineering | 1994