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Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets

  • Published:2021 Issue: Volume:30 Page:1439-1452
  • ISSN:1057-7149
  • Container-title:IEEE Transactions on Image Processing
  • language:
  • Short-container-title:IEEE Trans. on Image Process.

Author:

Ren WeihongORCID,Wang XinchaoORCID,Tian JiandongORCID,Tang YandongORCID,Chan Antoni B.ORCID

Funder

grant from the Research Grants Council of the Hong Kong Special Administrative Region, China

Strategic Research Grant from the City University of Hong Kong

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

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2. Multi-Object Tracking Using Video Sequences with Improved Performance and Reduced Computation Cost;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21

3. Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN;Frontiers in Bioengineering and Biotechnology;2024-07-31

4. Deep Efficient Data Association for Multi-Object Tracking: Augmented with SSIM-Based Ambiguity Elimination;Journal of Imaging;2024-07-16

5. Automated People Counting System;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21
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