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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) CommIT (Communication & Information Technology) Indonesian Journal of Electrical Engineering and Computer Science Engineering, Mathematics and Computer Science Journal (EMACS)
Tjeng Wawan Cenggoro
Bina Nusantara University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : engineering mathematics and computer science journal emacs

 1 
Deep Learning for Crowd Counting: A Survey Tjeng Wawan Cenggoro
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 1 No. 1 (2019): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v1i1.5794

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.
Co-Authors Abba Suganda Girsang, Abba Suganda Amadea Claire Isabel Ardison Bens Pardamean Febrian Valentino Gregorius Natanael Elwirehardja Ko-Wei Huang Mikhaya Josheba Rumondang Hutagalung Reynaldi Chernando