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

• المؤلفون الرئيسيون: Phan, Duc Tri, Gao, Jianjun, Lu, Ye, Yap, Kim-Hui, Garg, Kratika, Han, Boon Siew
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Engineering; Background noise; Crowd counting
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/180575
• المؤسسة: 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...