@inproceedings{ac24b9f5e63d4695944680a90717ec44,
title = "Towards auto-extracting car park structures: Image processing approach on low powered devices",
abstract = "There have been numerous interests in the area of detecting availability of car park bay using image processing techniques instead of utilizing expensive sensors. An area that has been neglected in doing so is the initial calibration of the image capturing device on the need to determine the car park structures. This paper proposes a technique that addresses this issue, using the limited processing capabilities of embedded systems. The results are promising, where in its current form, is semi-automated calibration for the car park structure detection and further enhancements can be made, to make it completely automated.",
keywords = "Car park bay, Car park structure detection, Image processing, Low powered device, Raspberry pi",
author = "Tan, {Ian K. T.} and Poo, {Kuan Hoong} and Yap, {Chin Hong}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th International Visual Informatics Conference 2015, IVIC 2015 ; Conference date: 17-11-2015 Through 19-11-2015",
year = "2015",
doi = "10.1007/978-3-319-25939-0_28",
language = "English",
isbn = "9783319259383",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "315--325",
booktitle = "Advances in Visual Informatics. IVIC 2015",
address = "Switzerland",
}