Detecting the crowdedness of people by deep learning
Crowd management is a crucial aspect in the pandemic. Rapid spread of infection occurs in areas with high human concentrations. Therefore, there is a need for controlling the number of people in a vicinity. Computer vision-based AI crowd counting has been an existing area of research that could be l...
Saved in:
Main Author: | Heng, Seng En |
---|---|
Other Authors: | Jiang Xudong |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/154130 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Skin cancer detection with deep learning
by: Gupta, Jay
Published: (2022) -
Deep learning based people detection using 3D point cloud
by: Tan, Kye Min
Published: (2018) -
Evaluations of deep learning methods for detection of gap in concrete structures
by: Yang, Zhen
Published: (2021) -
Attack on training effort of deep learning
by: Ho, Tony Man Tung
Published: (2022) -
Deep learning for style and domain transfer
by: Ni, Anqi
Published: (2022)