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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Bibliografiset tiedot
Päätekijät: Liangjun Huang, Shihui Shen, Luning Zhu, Qingxuan Shi, Jianwei Zhang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2022-04-01
Sarja:Sensors
Aiheet:
dense crowd counting
multi-scale feature learning
convolutional neural network
Linkit:https://www.mdpi.com/1424-8220/22/9/3233
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