Coherent Crowd Analysis in Still Image
Nurul Binti Japar, Chee Seng Chan, Ven Jyn Kok · 2019
Collective behaviour of coherent groups conveys the semantic relations among individuals in a crowd scene. However, classically, crowd analysis in still image is either focused on crowd counting estimation or crowd segmentation only. In this paper, we present a novel framework that merges these two classical approaches together as one to achieve a higher level crowd understanding, i.e. detecting coherent groups within a crowd in still image. Essentially, in addition to crowd counting estimation, our work is able to infer crowd segments at both image level and coherent group level. Experimental results on ShanghaiTech dataset showed the efficacy of our solution.