Geometric model for vision-based door detection

Marwa M. Shalaby; Mohammed A.Megeed Salem; Alaa Khamis; Farid Melgani

doi:10.1109/ICCES.2014.7030925

Geometric model for vision-based door detection

Marwa M. Shalaby^*
, Mohammed A.Megeed Salem
, Alaa Khamis
, Farid Melgani

^*Corresponding author for this work

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

18 Scopus citations

Abstract

Emerging assistive technologies, such as assistive domotics and socially assistive robots have considerable potential for enhancing the lives of many elderly and physically challenged people throughout the world. Blind and visually impaired people can use these technologies for many tasks recognizing objects, handling various household duties, navigation in indoor and outdoor environments. Door detection is one of the important issues in indoor navigation. This paper presents a novel vision-based door detection technique. It is based on the geometric properties of the 4-side polygon. The efficacy of the proposed method is tested using large database of images with different levels of complexity. The experimental results show the robustness of the proposed method against changes in colors, sizes, shapes, orientations, and textures of the door. Detection rate of 83% with relatively low false positive rate for simple images is achieved. This proposed algorithm is suitable for real-time, portable applications where it only requires one digital camera and low computational resources.

Original language	English
Title of host publication	Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014
Editors	Ayman M. Wahba, M. Watheq El-Kharashi, Mohamed Taher, Ayman M. Bahaa El-Din, Ahmed M. Zaki
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-46
Number of pages	6
ISBN (Electronic)	9781479965946
DOIs	https://doi.org/10.1109/ICCES.2014.7030925
State	Published - 3 Feb 2014
Externally published	Yes
Event	2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014 - Cairo, Egypt Duration: 22 Dec 2014 → 23 Dec 2014

Publication series

Name	Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014

Conference

Conference	2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014
Country/Territory	Egypt
City	Cairo
Period	22/12/14 → 23/12/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1109/ICCES.2014.7030925

Cite this

Shalaby, M. M., Salem, M. A. M., Khamis, A., & Melgani, F. (2014). Geometric model for vision-based door detection. In A. M. Wahba, M. W. El-Kharashi, M. Taher, A. M. Bahaa El-Din, & A. M. Zaki (Eds.), Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014 (pp. 41-46). Article 7030925 (Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCES.2014.7030925

Shalaby, Marwa M. ; Salem, Mohammed A.Megeed ; Khamis, Alaa et al. / Geometric model for vision-based door detection. Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014. editor / Ayman M. Wahba ; M. Watheq El-Kharashi ; Mohamed Taher ; Ayman M. Bahaa El-Din ; Ahmed M. Zaki. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 41-46 (Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014).

@inproceedings{132072a1ef604e2781bb55bef7e61d47,

title = "Geometric model for vision-based door detection",

abstract = "Emerging assistive technologies, such as assistive domotics and socially assistive robots have considerable potential for enhancing the lives of many elderly and physically challenged people throughout the world. Blind and visually impaired people can use these technologies for many tasks recognizing objects, handling various household duties, navigation in indoor and outdoor environments. Door detection is one of the important issues in indoor navigation. This paper presents a novel vision-based door detection technique. It is based on the geometric properties of the 4-side polygon. The efficacy of the proposed method is tested using large database of images with different levels of complexity. The experimental results show the robustness of the proposed method against changes in colors, sizes, shapes, orientations, and textures of the door. Detection rate of 83\% with relatively low false positive rate for simple images is achieved. This proposed algorithm is suitable for real-time, portable applications where it only requires one digital camera and low computational resources.",

author = "Shalaby, \{Marwa M.\} and Salem, \{Mohammed A.Megeed\} and Alaa Khamis and Farid Melgani",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014 ; Conference date: 22-12-2014 Through 23-12-2014",

year = "2014",

month = feb,

day = "3",

doi = "10.1109/ICCES.2014.7030925",

language = "English",

series = "Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "41--46",

editor = "Wahba, \{Ayman M.\} and El-Kharashi, \{M. Watheq\} and Mohamed Taher and \{Bahaa El-Din\}, \{Ayman M.\} and Zaki, \{Ahmed M.\}",

booktitle = "Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014",

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}

Shalaby, MM, Salem, MAM, Khamis, A & Melgani, F 2014, Geometric model for vision-based door detection. in AM Wahba, MW El-Kharashi, M Taher, AM Bahaa El-Din & AM Zaki (eds), Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014., 7030925, Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014, Institute of Electrical and Electronics Engineers Inc., pp. 41-46, 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014, Cairo, Egypt, 22/12/14. https://doi.org/10.1109/ICCES.2014.7030925

Geometric model for vision-based door detection. / Shalaby, Marwa M.; Salem, Mohammed A.Megeed; Khamis, Alaa et al.
Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014. ed. / Ayman M. Wahba; M. Watheq El-Kharashi; Mohamed Taher; Ayman M. Bahaa El-Din; Ahmed M. Zaki. Institute of Electrical and Electronics Engineers Inc., 2014. p. 41-46 7030925 (Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014).

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

TY - GEN

T1 - Geometric model for vision-based door detection

AU - Shalaby, Marwa M.

AU - Salem, Mohammed A.Megeed

AU - Khamis, Alaa

AU - Melgani, Farid

PY - 2014/2/3

Y1 - 2014/2/3

N2 - Emerging assistive technologies, such as assistive domotics and socially assistive robots have considerable potential for enhancing the lives of many elderly and physically challenged people throughout the world. Blind and visually impaired people can use these technologies for many tasks recognizing objects, handling various household duties, navigation in indoor and outdoor environments. Door detection is one of the important issues in indoor navigation. This paper presents a novel vision-based door detection technique. It is based on the geometric properties of the 4-side polygon. The efficacy of the proposed method is tested using large database of images with different levels of complexity. The experimental results show the robustness of the proposed method against changes in colors, sizes, shapes, orientations, and textures of the door. Detection rate of 83% with relatively low false positive rate for simple images is achieved. This proposed algorithm is suitable for real-time, portable applications where it only requires one digital camera and low computational resources.

AB - Emerging assistive technologies, such as assistive domotics and socially assistive robots have considerable potential for enhancing the lives of many elderly and physically challenged people throughout the world. Blind and visually impaired people can use these technologies for many tasks recognizing objects, handling various household duties, navigation in indoor and outdoor environments. Door detection is one of the important issues in indoor navigation. This paper presents a novel vision-based door detection technique. It is based on the geometric properties of the 4-side polygon. The efficacy of the proposed method is tested using large database of images with different levels of complexity. The experimental results show the robustness of the proposed method against changes in colors, sizes, shapes, orientations, and textures of the door. Detection rate of 83% with relatively low false positive rate for simple images is achieved. This proposed algorithm is suitable for real-time, portable applications where it only requires one digital camera and low computational resources.

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DO - 10.1109/ICCES.2014.7030925

M3 - Conference contribution

AN - SCOPUS:84988228122

T3 - Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014

SP - 41

EP - 46

BT - Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014

A2 - Wahba, Ayman M.

A2 - El-Kharashi, M. Watheq

A2 - Taher, Mohamed

A2 - Bahaa El-Din, Ayman M.

A2 - Zaki, Ahmed M.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014

Y2 - 22 December 2014 through 23 December 2014

ER -

Shalaby MM, Salem MAM, Khamis A, Melgani F. Geometric model for vision-based door detection. In Wahba AM, El-Kharashi MW, Taher M, Bahaa El-Din AM, Zaki AM, editors, Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 41-46. 7030925. (Proceedings of 2014 9th IEEE International Conference on Computer Engineering and Systems, ICCES 2014). doi: 10.1109/ICCES.2014.7030925

Geometric model for vision-based door detection

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this