Towards auto-extracting car park structures: Image processing approach on low powered devices

Ian K. T. Tan; Kuan Hoong Poo; Chin Hong Yap

doi:10.1007/978-3-319-25939-0_28

Towards auto-extracting car park structures: Image processing approach on low powered devices

Ian K. T. Tan^*, Kuan Hoong Poo, Chin Hong Yap

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Advances in Visual Informatics. IVIC 2015
Publisher	Springer
Pages	315-325
Number of pages	11
ISBN (Electronic)	9783319259390
ISBN (Print)	9783319259383
DOIs	https://doi.org/10.1007/978-3-319-25939-0_28
Publication status	Published - 2015
Event	4th International Visual Informatics Conference 2015 - Bangi, Malaysia Duration: 17 Nov 2015 → 19 Nov 2015

Publication series

Name	Lecture Notes in Computer Science
Volume	9429
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Visual Informatics Conference 2015
Abbreviated title	IVIC 2015
Country/Territory	Malaysia
City	Bangi
Period	17/11/15 → 19/11/15

Keywords

Car park bay
Car park structure detection
Image processing
Low powered device
Raspberry pi

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-25939-0_28

Cite this

@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 = "United States",

}

TY - GEN

T1 - Towards auto-extracting car park structures

T2 - 4th International Visual Informatics Conference 2015

AU - Tan, Ian K. T.

AU - Poo, Kuan Hoong

AU - Yap, Chin Hong

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Car park bay

KW - Car park structure detection

KW - Image processing

KW - Low powered device

KW - Raspberry pi

UR - http://www.scopus.com/inward/record.url?scp=84950128186&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-25939-0_28

DO - 10.1007/978-3-319-25939-0_28

M3 - Conference contribution

AN - SCOPUS:84950128186

SN - 9783319259383

T3 - Lecture Notes in Computer Science

SP - 315

EP - 325

BT - Advances in Visual Informatics. IVIC 2015

PB - Springer

Y2 - 17 November 2015 through 19 November 2015

ER -

Towards auto-extracting car park structures: Image processing approach on low powered devices

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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