Cascaded Feature-Mask Fusion for Foreground Segmentation

Foreground segmentation aims at extracting moving objects from the background in a robust manner under various challenging scenarios. The deep learning-based methods have achieved remarkable improvement in this field. These methods produce semantically correct predictions based on extracted rich sem...

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Bibliografische gegevens
Hoofdauteurs: Chuanyun Xu, Huan Liu, Tenghui Li, Yang Zhang, Tian Li, Gang Li
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2022-01-01
Reeks:IEEE Open Journal of Intelligent Transportation Systems
Onderwerpen:
Deep learning
feature-mask fusion
foreground segmentation
high-level features
video surveillance
Online toegang:https://ieeexplore.ieee.org/document/9762753/
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