Crowd Counting with Deep Structured Scale Integration Network

ICCV 2019 Lingbo LiuZhilin QiuGuanbin LiShufan LiuWanli OuyangLiang Lin

Automatic estimation of the number of people in unconstrained crowded scenes is a challenging task and one major difficulty stems from the huge scale variation of people. In this paper, we propose a novel Deep Structured Scale Integration Network (DSSINet) for crowd counting, which addresses the scale variation of people by using structured feature representation learning and hierarchically structured loss function optimization... (read more)

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