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

Zalili Binti Musa*, Junzo Watada

*この研究の対応する著者

    研究成果: Article査読

    11 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ページ(範囲)495-514
    ページ数20
    ジャーナルKybernetika
    42
    4
    出版ステータスPublished - 2006

    ASJC Scopus subject areas

    • 制御およびシステム工学
    • 人間とコンピュータの相互作用

    フィンガープリント

    「A grid-computing based multi-camera tracking system for vehicle plate recognition」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル