Crowd counting by dual-branch scale-aware network with ranking loss constraints

Image crowd counting is a challenging problem. This study proposes a new deep learning method that estimates crowd counting for the congested scene. The proposed network is composed of two major components: the first ten layers of VGG16 are used as the backbone network, and a dual-branch (named as Branch_S and Branch_D) network is proposed to be the second part of the network. Branch_S extracts lo...