TensorMoG: A Tensor-Driven Gaussian Mixture Model with Dynamic Scene Adaptation for Background Modelling

TensorMoG: A Tensor-Driven Gaussian Mixture Model with Dynamic Scene Adaptation for Background Modelling

Decades of ongoing research have shown that background modelling is a very powerful technique, which is used in intelligent surveillance systems, in order to extract features of interest, known as foregrounds. In order to work with the dynamic nature of different scenes, many techniques of backgroun...

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Bibliographic Details
Main Authors: Synh Viet-Uyen Ha, Nhat Minh Chung, Hung Ngoc Phan, Cuong Tien Nguyen
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
computer vision
background modeling
foreground extraction
Gaussian Mixture Model
Online Access:https://www.mdpi.com/1424-8220/20/23/6973

Internet

https://www.mdpi.com/1424-8220/20/23/6973

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