Moving vehicle video detection combining ViBe and inter-frame difference Online publication date: Fri, 01-May-2020
by Wei Sun; Hongji Du; Guangyi Ma; Shunshun Shi; Xiaorui Zhang; Yang Wu
International Journal of Embedded Systems (IJES), Vol. 12, No. 3, 2020
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.
Online publication date: Fri, 01-May-2020
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