Object identification and tracking for steady registration in mobile augmented reality

Yassine Lehiani; Marius Preda; Madjid Maidi; Faouzi Ghorbel

doi:10.1109/ICSIPA.2015.7412163

Object identification and tracking for steady registration in mobile augmented reality

Yassine Lehiani, Marius Preda, Madjid Maidi, Faouzi Ghorbel

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

Abstract

This paper presents a novel approach for object identification and steady tracking in mobile augmented reality applications. First, the system identifies the object of interest using the KAZE algorithm. Then, the target tracking is enabled with the optical flow throughout the camera instant video stream. Further, the camera pose is determined by estimating the key transformation relating the camera reference frame according to the world coordinate system. Therefore, the visual perception is augmented with 3D virtual graphics overlaid on target object within the scene images. Finally, experiments are conducted to evaluate the system performances in terms of accuracy, robustness and computational efficiency as well.

Original language	English
Title of host publication	IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	54-59
Number of pages	6
ISBN (Electronic)	9781479989966
DOIs	https://doi.org/10.1109/ICSIPA.2015.7412163
Publication status	Published - 17 Feb 2016
Externally published	Yes
Event	4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Kuala Lumpur, Malaysia Duration: 19 Oct 2015 → 21 Oct 2015

Publication series

Name	IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings

Conference

Conference	4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015
Country/Territory	Malaysia
City	Kuala Lumpur
Period	19/10/15 → 21/10/15

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10.1109/ICSIPA.2015.7412163

Cite this

Lehiani, Y., Preda, M., Maidi, M., & Ghorbel, F. (2016). Object identification and tracking for steady registration in mobile augmented reality. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings (pp. 54-59). Article 7412163 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIPA.2015.7412163

Lehiani, Yassine ; Preda, Marius ; Maidi, Madjid et al. / Object identification and tracking for steady registration in mobile augmented reality. IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 54-59 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings).

@inproceedings{19aff8ec667a42b18cdfca5ff140b3d9,

title = "Object identification and tracking for steady registration in mobile augmented reality",

abstract = "This paper presents a novel approach for object identification and steady tracking in mobile augmented reality applications. First, the system identifies the object of interest using the KAZE algorithm. Then, the target tracking is enabled with the optical flow throughout the camera instant video stream. Further, the camera pose is determined by estimating the key transformation relating the camera reference frame according to the world coordinate system. Therefore, the visual perception is augmented with 3D virtual graphics overlaid on target object within the scene images. Finally, experiments are conducted to evaluate the system performances in terms of accuracy, robustness and computational efficiency as well.",

author = "Yassine Lehiani and Marius Preda and Madjid Maidi and Faouzi Ghorbel",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 ; Conference date: 19-10-2015 Through 21-10-2015",

year = "2016",

month = feb,

day = "17",

doi = "10.1109/ICSIPA.2015.7412163",

language = "English",

series = "IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings",

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

pages = "54--59",

booktitle = "IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings",

}

Lehiani, Y, Preda, M, Maidi, M & Ghorbel, F 2016, Object identification and tracking for steady registration in mobile augmented reality. in IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings., 7412163, IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 54-59, 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015, Kuala Lumpur, Malaysia, 19/10/15. https://doi.org/10.1109/ICSIPA.2015.7412163

Object identification and tracking for steady registration in mobile augmented reality. / Lehiani, Yassine; Preda, Marius; Maidi, Madjid et al.
IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 54-59 7412163 (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings).

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

TY - GEN

T1 - Object identification and tracking for steady registration in mobile augmented reality

AU - Lehiani, Yassine

AU - Preda, Marius

AU - Maidi, Madjid

AU - Ghorbel, Faouzi

PY - 2016/2/17

Y1 - 2016/2/17

N2 - This paper presents a novel approach for object identification and steady tracking in mobile augmented reality applications. First, the system identifies the object of interest using the KAZE algorithm. Then, the target tracking is enabled with the optical flow throughout the camera instant video stream. Further, the camera pose is determined by estimating the key transformation relating the camera reference frame according to the world coordinate system. Therefore, the visual perception is augmented with 3D virtual graphics overlaid on target object within the scene images. Finally, experiments are conducted to evaluate the system performances in terms of accuracy, robustness and computational efficiency as well.

AB - This paper presents a novel approach for object identification and steady tracking in mobile augmented reality applications. First, the system identifies the object of interest using the KAZE algorithm. Then, the target tracking is enabled with the optical flow throughout the camera instant video stream. Further, the camera pose is determined by estimating the key transformation relating the camera reference frame according to the world coordinate system. Therefore, the visual perception is augmented with 3D virtual graphics overlaid on target object within the scene images. Finally, experiments are conducted to evaluate the system performances in terms of accuracy, robustness and computational efficiency as well.

U2 - 10.1109/ICSIPA.2015.7412163

DO - 10.1109/ICSIPA.2015.7412163

M3 - Conference contribution

AN - SCOPUS:84971637015

T3 - IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings

SP - 54

EP - 59

BT - IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015

Y2 - 19 October 2015 through 21 October 2015

ER -

Lehiani Y, Preda M, Maidi M, Ghorbel F. Object identification and tracking for steady registration in mobile augmented reality. In IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 54-59. 7412163. (IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings). doi: 10.1109/ICSIPA.2015.7412163

Object identification and tracking for steady registration in mobile augmented reality

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