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Kybernetika 42(4):495-514, 2006.

A Grid-Computing Based Multi-Camera Tracking System for Vehicle Plate Recognition

Zalili Binti Musa and Junzo Watada


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.


Keywords: vehicle plate recognition; grid computing; recognition system; tracking system;


AMS: 68G35; 68U10;


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BIB TeX

@article{kyb:2006:4:495-514,

author = {Musa, Zalili Binti and Watada, Junzo},

title = {A Grid-Computing Based Multi-Camera Tracking System for Vehicle Plate Recognition},

journal = {Kybernetika},

volume = {42},

year = {2006},

number = {4},

pages = {495-514}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


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