Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting

Understand

Dense crowd counting aims to predict thousands of human instances from an image, by calculating integrals of a density map over image pixels.

• Existing approaches mainly suffer from the extreme density variances.
• Such density pattern shift poses challenges even for multi-scale model ensembling.
• In this paper, we propose a simple yet effective approach to tackle this problem.