Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting

In this paper, we propose a context-aware multi-scale aggregation network named CMSNet for dense crowd counting, which effectively uses contextual information and multi-scale information to conduct crowd density estimation. To achieve this, a context-aware multi-scale aggregation module (CMSM) is de...

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Bibliographic Details
Main Authors:	Huang, L. (Author), Shen, S. (Author), Shi, Q. (Author), Zhang, J. (Author), Zhu, L. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Aggregation network Cams Context-Aware Contextual information convolutional neural network Convolutional neural network Convolutional neural networks dense crowd counting Dense crowd counting Feature learning Machine learning multi-scale feature learning Multi-scale feature learning Multi-scale features Multiscale information Multi-scales
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting

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