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[[alternative]]Omni-Directional Camera Networks and Data Fusion for Vehicle Tracking in an Indoor Parking Lot

By [[author]]蔡慶廷, [[author]]Tsai Ching-Ting, 蔡慶廷 and Tsai Ching-Ting

Abstract

[[abstract]]The vehicle guiding system is an important part of an intelligent parking lot system. It helps vehicles find a parking space more efficiently. In this paper, a vision-based tracking system designed for such a guiding system is purposed. This system can track vehicles over a wide space, and is easy to extend because only one kind of cameras is used. This tracking system consists of a back-end element and many front-end elements. Foreground vehicles captured by the cameras are extracted by the front-end elements, and integrated by the back-end element. The whole monitoring image is constructed from the front-end elements by applying mosaicing, which also helps to adjust the setting of all cameras at the same time. Compared with the other kinds of tracking systems, our system can more easily enlarge the monitoring area by adding cameras. The experimental results show that those vehicles moving in our parking system can be tracked exactly and can be integrated with the guiding system very well.

Topics: 環場攝影機, 大範圍追蹤系統, 停車場, 智慧型停車場, [[classification]]42
Year: 2010
OAI identifier: oai:ir.lib.ntnu.edu.tw:309250000Q/17957
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