Title: Moving vehicle video detection combining ViBe and inter-frame difference

Authors: Wei Sun; Hongji Du; Guangyi Ma; Shunshun Shi; Xiaorui Zhang; Yang Wu

Addresses: School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing, China ' School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China ' School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China ' School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China ' Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing, China ' School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China

Abstract: It is difficult with traditional methods to realise real-time and robust detection of moving vehicles under complex traffic scenes. In this paper, a moving vehicle video detection method that combines ViBe and inter-frame difference is proposed. The proposed method improves the background update efficiency of the traditional ViBe method by adding a multi-threshold comparison step to the inter-frame difference method. The improved background update strategy can judge whether the detected pixel point belongs to the foreground or background, and dynamically adjusts the background update rate according to the inter-frame difference results. Experimental results showed the proposed method can effectively remove of "ghosting" phenomenon that occurs in traditional ViBe method and realise accurate and complete detection of the moving vehicle in video.

Keywords: moving vehicle detection; ViBe; inter-frame difference.

DOI: 10.1504/IJES.2020.107042

International Journal of Embedded Systems, 2020 Vol.12 No.3, pp.371 - 379

Received: 06 Jul 2018
Accepted: 09 Nov 2018
Published online: 01 May 2020 *

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