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

Zalili Binti Musa; Junzo Watada

Kybernetika (2006)

  • Volume: 42, Issue: 4, page 495-514
  • ISSN: 0023-5954

Abstract

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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.

How to cite

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Musa, Zalili Binti, and Watada, Junzo. "A grid-computing based multi-camera tracking system for vehicle plate recognition." Kybernetika 42.4 (2006): 495-514. <http://eudml.org/doc/33821>.

@article{Musa2006,
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.},
author = {Musa, Zalili Binti, Watada, Junzo},
journal = {Kybernetika},
keywords = {vehicle plate recognition; grid computing; recognition system; tracking system; vehicle plate recognition; grid computing; recognition system; tracking system},
language = {eng},
number = {4},
pages = {495-514},
publisher = {Institute of Information Theory and Automation AS CR},
title = {A grid-computing based multi-camera tracking system for vehicle plate recognition},
url = {http://eudml.org/doc/33821},
volume = {42},
year = {2006},
}

TY - JOUR
AU - Musa, Zalili Binti
AU - Watada, Junzo
TI - A grid-computing based multi-camera tracking system for vehicle plate recognition
JO - Kybernetika
PY - 2006
PB - Institute of Information Theory and Automation AS CR
VL - 42
IS - 4
SP - 495
EP - 514
AB - 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.
LA - eng
KW - vehicle plate recognition; grid computing; recognition system; tracking system; vehicle plate recognition; grid computing; recognition system; tracking system
UR - http://eudml.org/doc/33821
ER -

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