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

Title:

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

Creator:

Musa, Zalili Binti and Watada, Junzo

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:682e400f-ca01-43d1-b1da-0d2dc1e130e8
uuid:682e400f-ca01-43d1-b1da-0d2dc1e130e8

Subject:

vehicle plate recognition, grid computing, recognition system, and tracking system

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

[495]-514

Source:

Kybernetika | 2006 Volume:42 | Number:4

Harvested from:

CDK

Metadata only:

false