Real-time people counting from depth imagery of crowded environments-Reference-Cited by-同舟云学术

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Real-time people counting from depth imagery of crowded environments

Published:2014-08 Issue: Volume: Page:
ISSN:
Container-title:2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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Author:

Bondi Enrico,Seidenari Lorenzo,Bagdanov Andrew D.,Del Bimbo Alberto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6912617/6918624/06918691.pdf?arnumber=6918691

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Crowd Counting in Dense Environments Through Curriculum Learning Training Strategy;SN Computer Science;2024-06-28

2. CAGNet: Coordinated attention guidance network for RGB-T crowd counting;Expert Systems with Applications;2024-06

3. DCFNet: A Distinction-aware Cross-stage Fusion Network for RGB-T Crowd Counting;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

4. Light-sensitive and adaptive fusion network for RGB-T crowd counting;The Visual Computer;2024-04-21

5. CCANet: A Collaborative Cross-Modal Attention Network for RGB-D Crowd Counting;IEEE Transactions on Multimedia;2024

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