Deep Learning for Crowd Counting: A Survey

Tjeng Wawan Cenggoro
2019 Engineering, Mathematics and Computer Science Journal (EMACS)  
The growth of deep learning for crowd counting is immense in the recent years. This results in numerous deep learning model developed with huge multifariousness. This paper aims to capture a big picture of existing deep learning models for crowd counting. Hence, the development of novel models for future works can be accelerated.
doi:10.21512/emacsjournal.v1i1.5794 fatcat:ryrwisbarnc6fj37v4wfpgynbe