In recent years, detection of parking space availability has become of great importance worldwide due to its high correlation with fuel consumption and traffic congestion. We propose a novel framework for the automatic detection of vacant parking spaces from a lamp-post camera view of a parking lot. Our method models the 3-D volume parking spaces based on the parking lot geometry. The occupancy of the parking lot is determined based on a vehicle detector and the inferred volume of each space. We evaluate our method on three different datasets and show that its accuracy is close to 80% on a wide variety of test images.


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    Titel :

    Parking lot occupancy determination from lamp-post camera images


    Beteiligte:
    Delibaltov, Diana (Autor:in) / Wu, Wencheng (Autor:in) / Loce, Robert P. (Autor:in) / Bernal, Edgar A. (Autor:in)


    Erscheinungsdatum :

    01.10.2013


    Format / Umfang :

    2922712 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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