| Title:
|
A grid-computing based multi-camera tracking system for vehicle plate recognition (English) |
| Author:
|
Musa, Zalili Binti |
| Author:
|
Watada, Junzo |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
42 |
| Issue:
|
4 |
| Year:
|
2006 |
| Pages:
|
495-514 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
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. (English) |
| Keyword:
|
vehicle plate recognition |
| Keyword:
|
grid computing |
| Keyword:
|
recognition system |
| Keyword:
|
tracking system |
| MSC:
|
68G35 |
| MSC:
|
68T45 |
| MSC:
|
68U10 |
| MSC:
|
68U35 |
| idZBL:
|
Zbl 1249.68273 |
| . |
| Date available:
|
2009-09-24T20:18:15Z |
| Last updated:
|
2015-03-29 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/135731 |
| . |
| Reference:
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