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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書目詳細資料
Main Authors:	Phan, Duc Tri, Gao, Jianjun, Lu, Ye, Yap, Kim-Hui, Garg, Kratika, Han, Boon Siew
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2024
主題:	Engineering Background noise Crowd counting
在線閱讀:	https://hdl.handle.net/10356/180575
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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