Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance

Kahlil Muchtar; Chia Hung Yeh; Zhi Yao Jian; Chih Yang Lin; Wei Yang Lin; Wan Jen Huang

doi:10.1109/ICCE-China.2017.7990965

Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance

Kahlil Muchtar, Chia Hung Yeh, Zhi Yao Jian, Chih Yang Lin^*, Wei Yang Lin, Wan Jen Huang

^*Corresponding author for this work

Department of Electrical Engineering

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

2 Citations (Scopus)

Abstract

The development of moving object detection systems has become of great interest in the video surveillance field. Although many foreground detection methods have been proposed, the problems of incomplete object shapes and misclassified shadow regions remain. We propose a new approach by combining bit-planes representation with gray-level co-occurrence matrix (GLCM). This allows the system to exploit the motion history and remove the shadow, respectively. As shown by experiments in Section 3, our approach is efficient and robust for detecting moving objects in real-time.

Original language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781509040179
DOIs	https://doi.org/10.1109/ICCE-China.2017.7990965
Publication status	Published - 2017 Jul 25
Event	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States Duration: 2017 Jun 12 → 2017 Jun 14

Publication series

Name	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Other

Other	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/Territory	United States
City	Taipei
Period	2017/06/12 → 2017/06/14

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Computer Networks and Communications
Signal Processing
Biomedical Engineering
Instrumentation
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE-China.2017.7990965

Cite this

Muchtar, K., Yeh, C. H., Jian, Z. Y., Lin, C. Y., Lin, W. Y., & Huang, W. J. (2017). Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 (pp. 1-2). Article 7990965 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2017.7990965

Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance. / Muchtar, Kahlil; Yeh, Chia Hung; Jian, Zhi Yao et al.
2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-2 7990965 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017).

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

Muchtar, K, Yeh, CH, Jian, ZY, Lin, CY, Lin, WY & Huang, WJ 2017, Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance. in 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017., 7990965, 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Taipei, United States, 2017/06/12. https://doi.org/10.1109/ICCE-China.2017.7990965

Muchtar K, Yeh CH, Jian ZY, Lin CY, Lin WY, Huang WJ. Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-2. 7990965. (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). doi: 10.1109/ICCE-China.2017.7990965

Muchtar, Kahlil ; Yeh, Chia Hung ; Jian, Zhi Yao et al. / Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance. 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-2 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017).

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abstract = "The development of moving object detection systems has become of great interest in the video surveillance field. Although many foreground detection methods have been proposed, the problems of incomplete object shapes and misclassified shadow regions remain. We propose a new approach by combining bit-planes representation with gray-level co-occurrence matrix (GLCM). This allows the system to exploit the motion history and remove the shadow, respectively. As shown by experiments in Section 3, our approach is efficient and robust for detecting moving objects in real-time.",

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AB - The development of moving object detection systems has become of great interest in the video surveillance field. Although many foreground detection methods have been proposed, the problems of incomplete object shapes and misclassified shadow regions remain. We propose a new approach by combining bit-planes representation with gray-level co-occurrence matrix (GLCM). This allows the system to exploit the motion history and remove the shadow, respectively. As shown by experiments in Section 3, our approach is efficient and robust for detecting moving objects in real-time.

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Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance

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