Background Subtraction Network Module Ensemble for Background Scene Adaptation

Background subtraction networks outperform traditional hand-craft background subtraction methods. The main advantage of background subtraction networks is their ability to automatically learn background features for training scenes. When applying the trained network to new target scenes, adapting th...

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Bibliographic Details

Published in:	2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) pp. 1 - 8
Main Authors:	Hamada, Taiki, Minematsu, Tsubasa, Simada, Atsushi, Okubo, Fumiya, Taniguchi, Yuta
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29-11-2022
Subjects:	Adaptation models Feature extraction Focusing Knowledge engineering Lighting Surveillance Training
Online Access:	Get full text
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