The present invention discloses a real-time detection system based on hybrid background modeling for detecting parked vehicles along the side of a road. The hybrid background model consists of three components: 1) a scene background model, 2) a computed restricted area map, and 3) a dynamic threshold curve for vehicles. By exploiting the motion information of normal activity in the scene, we propose a hybrid background model that determines the location of the road, estimates the roadside and generates the adaptive threshold of the vehicle size. The system triggers a notification when a large vehicle-like foreground object has been stationary for more than a pre-set number of video frames (or time). The present invention is tested on the AVSS 2007 PV dataset. The results are satisfactory compared to other state-of-the-art methods.


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    Title :

    Real-time detection system for parked vehicles


    Contributors:
    PUN CHI-MAN (author) / LIN CONG (author)

    Publication date :

    2019-04-16


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06K Erkennen von Daten , RECOGNITION OF DATA / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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