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Tang et al. Intell Robot 2022;2(2):130­44 Intelligence & Robotics
DOI: 10.20517/ir.2022.07

Research Article Open Access

An improved ViBe-based approach for moving object
detection

1
1
Guangyi Tang , Jianjun Ni 1,2 , Pengfei Shi 1,2 , Yingqi Li , Jinxiu Zhu 1
1 College of Internet of Things Engineering, Hohai University, Changzhou 213022, Jiangsu, China.
2 JiangsuKey Laboratory of Power Transmission & Distribution EquipmentTechnology, Hohai University, Changzhou213022, Jiangsu,
China.

Correspondence to: Prof. Jianjun Ni, College of Internet of Things Engineering, Hohai University, No.200, North Jinling Road,
Xinbei District, Changzhou 213022, Jiangsu, China. E-mail: njjhhuc@gmail.com
How to cite this article: Tang G, Ni J, Shi P, Li Y, Zhu J. An improved ViBe-based approach for moving object detection. Intell Robot
2022;2(2):130-44. http://dx.doi.org/10.20517/ir.2022.07

Received: 5 Mar 2022 First Decision: 14 Apr 2022 Revised: 30 Apr 2022 Accepted: 12 May 2022 Published: 20 May
2022

Academic Editors: Simon X. Yang, Daqi Zhu Copy Editor: Fanlin Lan Production Editor: Fanlin Lan

Abstract
Moving object detection is a challenging task in the automatic monitoring field, which plays a crucial role in most video-
based applications. The visual background extractor (ViBe) algorithm has been widely used to deal with this problem
due to its high detection rate and low computational complexity. However, there are some shortcomings in the general
ViBe algorithm, such as the ghost area problem and the dynamic background problem. To deal with these problems,
an improved ViBe approach is presented in this paper. In the proposed approach, a mode background modeling
method is used to accelerate the process of the ghost elimination. For the detection of moving object in dynamic
background, a local adaptive threshold and update rate is proposed for the ViBe approach to detect foreground and
update background. Furthermore, an improved shadow removal method is presented, which is based on the HSV
color space combined with the edge detection method. Finally, some experiments were conducted, and the results
show the efficiency and effectiveness of the proposed approach.

Keywords: Moving object detection; ViBe-based approach; dynamic background; shadow detection

© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0
International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, shar­
ing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you
give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate
if changes were made.

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