This study proposes a novel method for parking space detection. The proposed system is based on individual vehicle detection using grayscale images acquired from a video camera. Two algorithms were tested in the laboratory and the field. The first algorithm was based on the maximum value of the image histogram; the second algorithm was based on the bandwidth of the image histogram. The proposed algorithms successfully recognized vacant and occupied parking spaces under different scenarios and weather conditions. From the verification of the field study, the detection rate of the proposed system reached more than 98% for both algorithms. This system can be used for monitoring parking vacancy and guiding incoming motorists to vacant parking spaces in real time. The system has simple algorithms and easy configuration and does not require high-quality images. The latter feature means that less expensive cameras or existing surveillance cameras can easily be used instead of special cameras; thus huge cost savings are provided. The system also offers a fast processing time and easy applicability to parking lots in continuous operation.


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    Title :

    Parking Space Detection System Using Video Images


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2019-04-04




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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