AVMSN: An Audio-Visual Two Stream Crowd Counting Framework Under Low-Quality Conditions

Crowd counting is considered as the essential computer vision application that uses the convolutional neural network to model the crowd density as the regression task. However, the vision-based models are hard to extract the feature under low-quality conditions. As we know, visual and audio are used...

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Autores principales: Ruihan Hu, Qinglong Mo, Yuanfei Xie, Yongqian Xu, Jiaqi Chen, Yalun Yang, Hongjian Zhou, Zhi-Ri Tang, Edmond Q. Wu
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/3ffb5e5cfb494ba3b2324d68e2d72155
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