A multi-scale feature fusion spatial–channel attention model for background subtraction

Yizhong Yang; Tingting Xia; Dajin Li; Zhang Zhang; Guangjun Xie

doi:10.1007/s00530-023-01139-1

ScienceGate Book Chapters

JOURNAL ARTICLE

A multi-scale feature fusion spatial–channel attention model for background subtraction

Yizhong Yang Tingting Xia Dajin Li Zhang Zhang Guangjun Xie

Year: 2023 Journal: Multimedia Systems Vol: 29 (6)Pages: 3609-3623 Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-023-01139-1

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Background subtraction Artificial intelligence Feature (linguistics) Generalization Encoder Pattern recognition (psychology) Focus (optics) Measure (data warehouse) Feature extraction Scale (ratio) Channel (broadcasting) Task (project management) Spatial analysis Data mining Computer vision Pixel Mathematics

Metrics

Cited By

1.27

FWCI (Field Weighted Citation Impact)

Refs

0.76

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A multi-scale feature fusion spatial–channel attention model for background subtraction

Metrics

Citation History

Topics

Related Documents

Multi-scale multi-feature codebook-based background subtraction

Feature Description Attention: Channel-independent local–global fusion for multi-scale feature representation

Multi-channel feature fusion attention Dehazing network

Multi-Layer Multi-Feature Background Subtraction Using Codebook Model Framework

Multi-Layer Multi-Feature Background Subtraction Using Codebook Model Framework