An illumination-robust algorithm based on visual background extractor for moving object detection

Huan Wang; Qinglin Wang; Yuan Li; Yan Liu; Yaping Dai

doi:10.1109/ASCC.2015.7244840

An illumination-robust algorithm based on visual background extractor for moving object detection

Huan Wang, Qinglin Wang, Yuan Li, Yan Liu, Yaping Dai

School of Automation

Beijing Institute of Technology

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

6 Citations (Scopus)

Abstract

Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level adaptively by using image intensity normalization method based on histogram statistics. With this method, the influence of illumination variation can be basically eliminated. At last, a morphology postprocessing is used to filter the results of binary image, remove the noise in the background, fill small voids within the object, and suppress the influence of dynamic background. The experimental results show that compared with several existing algorithms, the proposed algorithm has higher detection accuracy and is robust for illumination variation.

Original language	English
Title of host publication	2015 10th Asian Control Conference
Subtitle of host publication	Emerging Control Techniques for a Sustainable World, ASCC 2015
Editors	Hazlina Selamat, Hafiz Rashidi Haruna Ramli, Ahmad Athif Mohd Faudzi, Ribhan Zafira Abdul Rahman, Asnor Juraiza Ishak, Azura Che Soh, Siti Anom Ahmad
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479978625
DOIs	https://doi.org/10.1109/ASCC.2015.7244840
Publication status	Published - 8 Sept 2015
Event	10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia Duration: 31 May 2015 → 3 Jun 2015

Publication series

Name	2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

Conference

Conference	10th Asian Control Conference, ASCC 2015
Country/Territory	Malaysia
City	Kota Kinabalu
Period	31/05/15 → 3/06/15

Keywords

Image intensity normalization
Moving object detection
Visual background extractor algorithm

Access to Document

10.1109/ASCC.2015.7244840

Cite this

Wang, H., Wang, Q., Li, Y., Liu, Y., & Dai, Y. (2015). An illumination-robust algorithm based on visual background extractor for moving object detection. In H. Selamat, H. R. H. Ramli, A. A. M. Faudzi, R. Z. A. Rahman, A. J. Ishak, A. C. Soh, & S. A. Ahmad (Eds.), 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 Article 7244840 (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244840

Wang, Huan ; Wang, Qinglin ; Li, Yuan et al. / An illumination-robust algorithm based on visual background extractor for moving object detection. 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. editor / Hazlina Selamat ; Hafiz Rashidi Haruna Ramli ; Ahmad Athif Mohd Faudzi ; Ribhan Zafira Abdul Rahman ; Asnor Juraiza Ishak ; Azura Che Soh ; Siti Anom Ahmad. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015).

@inproceedings{f4980f281ac94bbe91b9cff23f6f99b9,

title = "An illumination-robust algorithm based on visual background extractor for moving object detection",

abstract = "Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level adaptively by using image intensity normalization method based on histogram statistics. With this method, the influence of illumination variation can be basically eliminated. At last, a morphology postprocessing is used to filter the results of binary image, remove the noise in the background, fill small voids within the object, and suppress the influence of dynamic background. The experimental results show that compared with several existing algorithms, the proposed algorithm has higher detection accuracy and is robust for illumination variation.",

keywords = "Image intensity normalization, Moving object detection, Visual background extractor algorithm",

author = "Huan Wang and Qinglin Wang and Yuan Li and Yan Liu and Yaping Dai",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th Asian Control Conference, ASCC 2015 ; Conference date: 31-05-2015 Through 03-06-2015",

year = "2015",

month = sep,

day = "8",

doi = "10.1109/ASCC.2015.7244840",

language = "English",

series = "2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015",

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

editor = "Hazlina Selamat and Ramli, \{Hafiz Rashidi Haruna\} and Faudzi, \{Ahmad Athif Mohd\} and Rahman, \{Ribhan Zafira Abdul\} and Ishak, \{Asnor Juraiza\} and Soh, \{Azura Che\} and Ahmad, \{Siti Anom\}",

booktitle = "2015 10th Asian Control Conference",

address = "United States",

}

Wang, H, Wang, Q, Li, Y, Liu, Y & Dai, Y 2015, An illumination-robust algorithm based on visual background extractor for moving object detection. in H Selamat, HRH Ramli, AAM Faudzi, RZA Rahman, AJ Ishak, AC Soh & SA Ahmad (eds), 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015., 7244840, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015, Institute of Electrical and Electronics Engineers Inc., 10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, 31/05/15. https://doi.org/10.1109/ASCC.2015.7244840

An illumination-robust algorithm based on visual background extractor for moving object detection. / Wang, Huan; Wang, Qinglin; Li, Yuan et al.
2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. ed. / Hazlina Selamat; Hafiz Rashidi Haruna Ramli; Ahmad Athif Mohd Faudzi; Ribhan Zafira Abdul Rahman; Asnor Juraiza Ishak; Azura Che Soh; Siti Anom Ahmad. Institute of Electrical and Electronics Engineers Inc., 2015. 7244840 (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015).

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

TY - GEN

T1 - An illumination-robust algorithm based on visual background extractor for moving object detection

AU - Wang, Huan

AU - Wang, Qinglin

AU - Li, Yuan

AU - Liu, Yan

AU - Dai, Yaping

PY - 2015/9/8

Y1 - 2015/9/8

N2 - Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level adaptively by using image intensity normalization method based on histogram statistics. With this method, the influence of illumination variation can be basically eliminated. At last, a morphology postprocessing is used to filter the results of binary image, remove the noise in the background, fill small voids within the object, and suppress the influence of dynamic background. The experimental results show that compared with several existing algorithms, the proposed algorithm has higher detection accuracy and is robust for illumination variation.

AB - Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level adaptively by using image intensity normalization method based on histogram statistics. With this method, the influence of illumination variation can be basically eliminated. At last, a morphology postprocessing is used to filter the results of binary image, remove the noise in the background, fill small voids within the object, and suppress the influence of dynamic background. The experimental results show that compared with several existing algorithms, the proposed algorithm has higher detection accuracy and is robust for illumination variation.

KW - Image intensity normalization

KW - Moving object detection

KW - Visual background extractor algorithm

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U2 - 10.1109/ASCC.2015.7244840

DO - 10.1109/ASCC.2015.7244840

M3 - Conference contribution

AN - SCOPUS:84957647512

T3 - 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015

BT - 2015 10th Asian Control Conference

A2 - Selamat, Hazlina

A2 - Ramli, Hafiz Rashidi Haruna

A2 - Faudzi, Ahmad Athif Mohd

A2 - Rahman, Ribhan Zafira Abdul

A2 - Ishak, Asnor Juraiza

A2 - Soh, Azura Che

A2 - Ahmad, Siti Anom

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th Asian Control Conference, ASCC 2015

Y2 - 31 May 2015 through 3 June 2015

ER -

Wang H, Wang Q, Li Y, Liu Y, Dai Y. An illumination-robust algorithm based on visual background extractor for moving object detection. In Selamat H, Ramli HRH, Faudzi AAM, Rahman RZA, Ishak AJ, Soh AC, Ahmad SA, editors, 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7244840. (2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015). doi: 10.1109/ASCC.2015.7244840

An illumination-robust algorithm based on visual background extractor for moving object detection

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