Deep Learning for Crowd Counting: A Survey
Tjeng Wawan Cenggoro · Engineering MAthematics and Computer Science (EMACS) Journal · 2019
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.