Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework
Localizing individuals in crowds is more in accordance with the practical demands of subsequent high-level crowd analysis tasks than simply counting. However, existing localization based methods relying on intermediate representations (i.e., density maps or pseudo boxes) serving as learning targets are counter-intuitive and error-prone. In this paper, we propose a …