A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling

A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling

Crowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue. Existing methods still suffer from the problem of severe overlap in density maps within dense areas, leading...

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Bibliographic Details
Main Authors: Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Label map
encoder-decoder structure
adaptive feature fusion
multi-scale
global attention
upsampling
Online Access:https://ieeexplore.ieee.org/document/10413321/

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