Iterative Crowd Counting

Understand

In this work, we tackle the problem of crowd counting in images.

• We present a Convolutional Neural Network (CNN) based density estimation approach to solve this problem.
• Predicting a high resolution density map in one go is a challenging task.
• Hence, we present a two branch CNN architecture for generating high resolution density maps, where the first branch generates a low resolution density map, and the second branch incorporates the low resolution prediction and feature maps from the first branch to generate a high resolution density map.