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A-CCNN: adaptive ccnn for density estimation and crowd counting
Crowd counting, for estimating the number of people in a crowd using vision-based computer techniques, has attracted much interest in the research community.
Structured Inhomogeneous Density Map Learning for Crowd Counting
In this paper, we aim at tackling the problem of crowd counting in extremely high-density scenes, which contain hundreds, or even thousands of people.
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