Crowd counting by using multi-level density-based spatial information: A Multi-scale CNN framework

Crowd counting is an extremely challenging task due to occlusions, scale variations of people’s heads, and non-uniform distributions of people. In this paper, we propose a scale-aware convolutional neural network (CNN), named MMNet, to generate density maps for crowd counting. In comparison with most extant scale-aware works, the proposed MMNet not only captures multi-scale features generated by various sizes of filters, but also integrates...