A grid-computing based multi-camera tracking system for vehicle plate recognition

Zalili Binti Musa, Junzo Watada

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    There are several ways that can be implemented in a vehicle tracking system such as recognizing a vehicle color, a shape or a vehicle plate itself. In this paper, we will concentrate ourselves on recognizing a vehicle on a highway through vehicle plate recognition. Generally, recognizing a vehicle plate for a toll-gate system or parking system is easier than recognizing a car plate for the highway system. There are many cameras installed on the highway to capture images and every camera has different angles of images. As a result, the images are captured under varied imaging conditions and not focusing on the vehicle itself. Therefore, we need a system that is able to recognize the object first. However, such a system consumes a large amount of time to complete the whole process. To overcome this drawback, we installed this process with grid computing as a solution. At the end of this paper, we will discuss our obtained result from an experiment.

    Original languageEnglish
    Pages (from-to)495-514
    Number of pages20
    JournalKybernetika
    Volume42
    Issue number4
    Publication statusPublished - 2006

    Keywords

    • Grid computing
    • Recognition system
    • Tracking system
    • Vehicle plate recognition

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Human-Computer Interaction

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