|Table of Contents|

Improved ViBe Algorithm and Its Application in Moving Objects Detection(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2020年04期
Page:
104-112
Research Field:
·智慧应急信息技术·
Publishing date:

Info

Title:
Improved ViBe Algorithm and Its Application in Moving Objects Detection
Author(s):
Zhang Qinli; Qiu Jie; Yang Xiulan
College of Computer Science & Engineering,Yulin Normal University,Yulin 537000,China
Keywords:
ViBe algorithm; median; dispersion coefficient; spatial consistency coefficient
PACS:
TN911.73
DOI:
10.3969/j.issn.1001-4616.2020.04.015
Abstract:
When ViBe algorithm is used to detect moving objects,the results of foreground extraction are prone to ghost,noise and incomplete detection results. To solve these problems,this paper proposes an improved ViBe algorithm. Firstly,the background model is initialized by using the median of multiframe images instead of single frame image; secondly,the dispersion coefficient is introduced to replace the original fixed distance determination threshold with the adaptive radius threshold; thirdly,the spatial consistency coefficient is introduced to construct the dynamic adaptive updating factor instead of the original fixed updating factor. The experimental results show that compared with the traditional ViBe algorithm and some improved ViBe algorithms,our improved ViBe algorithm can adapt to the dynamic background and illumination change,effectively suppress ghost,reduce the false detection rate and make the detection target more complete.

References:

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Last Update: 2020-11-15