An improved vibe algorithm of dual background model for quickly suppressing ghost images

Baoyu Song; Botao Wang

doi:10.1117/12.2639141

15 July 2022 An improved vibe algorithm of dual background model for quickly suppressing ghost images

Baoyu Song, Botao Wang

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 1225818 (2022) https://doi.org/10.1117/12.2639141
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

Aiming at the problem that traditional ViBe algorithm is prone to appear ghost area in the process of moving target detection, an improved ViBe algorithm was proposed. In the background model initialization stage, a time background model is added for each pixel, which uses the temporal characteristics of the pixel; at the same time, the original background model is improved, and the image used for modeling is determined by comparing the Hamming distance between frames. The coexistence of dual-background models is realized. In the foreground detection stage, the decision mechanism of the foreground detection is improved, that is, the Euclidean distance between the current pixel and the median of the temporal background model sample is used to supplement the decision; Finally, a cross-updating strategy is designed to rapidly update the dual-background model in the background model updating stage. Experiments show that compared with the traditional ViBe algorithm, the algorithm in this paper has a better effect on ghost suppression.

Citation Download Citation

Baoyu Song and Botao Wang "An improved vibe algorithm of dual background model for quickly suppressing ghost images", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 1225818 (15 July 2022); https://doi.org/10.1117/12.2639141

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available