A future view of a multi-camera tracking system in "organized session: SICE city"

In this paper, we will discuss a multi-camera tracking system, where we place a stress 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 in 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 and a future view of a multi-camera tracking system. We construct a multi-camera tracking system that consists of many cameras, a grid computer system, a data base and a network. Each camera provides a view of some limited partial space out of the vast universe. These partial views obtained by plural cameras re-build the spatial universe in the system. The grid computer system provides with the car plate recognition system. The data base provides the linked information obtained through many cameras and car plate recognition system. The network connects all grid computer subsystems with the data base system.