DEO-Net: joint density estimation and object detection for crowd counting

DEO-Net: joint density estimation and object detection for crowd counting

Automated crowd counting has emerged as a vision-based measurement method for crowd analysis and management. However, current methods based on density maps still suffer from challenges related to background noise and blurring effects. To address the limitations, this work proposes a deep neural netw...

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Bibliographic Details
Main Authors: Phan, Duc Tri, Gao, Jianjun, Lu, Ye, Yap, Kim-Hui, Garg, Kratika, Han, Boon Siew
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Background noise
Crowd counting
Online Access:https://hdl.handle.net/10356/180575

Internet

https://hdl.handle.net/10356/180575

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