Engineering, Mathematics and Computer Science Journal (EMACS)
Vol. 1 No. 1 (2019): EMACS

Deep Learning for Crowd Counting: A Survey

Tjeng Wawan Cenggoro (Bina Nusantara University)

Article Info

Publish Date
04 Sep 2019

Abstract

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.

Copyrights © 2019




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Engineering, Mathematics and Computer Science Journal (EMACS)
Website

Abbrev

EMACS

Publisher

Universitas Bina Nusantara

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

Description

Engineering, MAthematics and Computer Science (EMACS) Journal invites academicians and professionals to write their ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food ...