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

• 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: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Background noise; Crowd counting
• Online Access: https://hdl.handle.net/10356/180575
• Institution: Nanyang Technological University

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...