@inproceedings{d3d9722cf24e47a9a930b747059f83a0,
title = "Omni-directional camera networks and data fusion for vehicle tracking in an indoor parking lot",
abstract = "A fixed single camera is not sufficient for monitoring a wide area. More cameras can be used, but a problem with integrating all of them will arise. In this paper, a monitoring system to detect and track moving objects in an indoor environment using multiple omni-directional cameras is proposed. Objects captured from different cameras can be integrated automatically, and we can add more cameras to enlarge the monitoring range without changing the system architecture. Such a system is currently being applied to a model of a parking lot for detecting the paths of vehicles.",
keywords = "Homography matrix, Hyperbolic mirror, Object tracking, Omni-directional camera, Permutation matrix, Surveillance system",
author = "Wang, {Jung Ming} and Tsai, {Ching Ting} and Shen Cherng and Chen, {Sei Wang}",
year = "2006",
doi = "10.1109/AVSS.2006.84",
language = "English",
isbn = "0769526888",
series = "Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006",
publisher = "IEEE Computer Society",
pages = "45",
booktitle = "Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006",
note = "IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 ; Conference date: 22-11-2006 Through 24-11-2006",
}