Structured Inhomogeneous Density Map Learning for Crowd Counting

20 Jan 2018Hanhui LiXiangjian HeHefeng WuSaeed Amirgholipour KasmaniRuomei WangXiaonan LuoLiang Lin

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. We begin by a comprehensive analysis of the most widely used density map-based methods, and demonstrate how easily existing methods are affected by the inhomogeneous density distribution problem, e.g., causing them to be sensitive to outliers, or be hard to optimized... (read more)

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