Crowd counting using a self‐attention multi‐scale cascaded network

Crowd counting using a self‐attention multi‐scale cascaded network

Recent developments of crowd analysis and behaviour prediction have attracted much attention. Crowd counting, as the essential and challenging task in crowd analysis, is riddled with many issues, such as large scale variations, serious occlusion, and so on. In this study, a self‐attention‐based mult...

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Bibliographic Details
Main Authors: He Li, Shihui Zhang, Weihang Kong
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:IET Computer Vision
Subjects:
crowd analysis
SAMC-Net
end-to-end multiscale convolution neural network
crowd counting task
multiscale structure
crowd feature representation
Online Access:https://doi.org/10.1049/iet-cvi.2019.0085

Internet

https://doi.org/10.1049/iet-cvi.2019.0085

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