Cascaded Feature-Mask Fusion for Foreground Segmentation

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...

Full description

Bibliographic Details
Main Authors: Chuanyun Xu, Huan Liu, Tenghui Li, Yang Zhang, Tian Li, Gang Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Deep learning
feature-mask fusion
foreground segmentation
high-level features
video surveillance
Online Access:https://ieeexplore.ieee.org/document/9762753/

Similar Items

Similar Items