@inproceedings{f3cac72e2cca487cbb0f4bebcf8ef383,
title = "Vision based indoor positioning for intelligent buildings",
abstract = "With the surveillance camera become more and more popular, people need to observe a large number of monitor at one time. In this paper, we propose a vision based indoor positioning for intelligent buildings to solve this problem. We capture a frame and make the Gaussian mixture learning for video background model. Then we do the background subtraction and get the foreground object. After we have the foreground object, we track objects and use the direct linear transform to integrate camera information to a bird's-eye map. finally all the moving objects are traced and displayed on the bird's-eye view.",
keywords = "direct linear transform, foreground detection, indoor position, vision",
author = "Tsai, {Tsung Han} and Chang, {Chih Hao} and Chen, {Shih Wei}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd International Conference on Intelligent Green Building and Smart Grid, IGBSG 2016 ; Conference date: 27-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "9",
doi = "10.1109/IGBSG.2016.7539419",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2nd International Conference on Intelligent Green Building and Smart Grid, IGBSG 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Michalea Lachmanova and Dusan Maga",
booktitle = "Proceedings of the 2nd International Conference on Intelligent Green Building and Smart Grid, IGBSG 2016",
}
