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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| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/180575 |
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| Institution: | Nanyang Technological University |
| Language: | English |