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An end-to-end identity association network based on geometry refinement for multi-object tracking

  • Published:2022-09 Issue: Volume:129 Page:108738
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Li RuiORCID,Zhang Baopeng,Teng ZhuORCID,Fan Jianping

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Municipal Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference50 articles.

1. Tracking the untrackable: learning to track multiple cues with long-term dependencies;Sadeghian,2017

2. Multi-person tracking by multicut and deep matching;Tang,2016

3. Tracking without bells and whistles;Bergmann,2019

4. Online multi-object tracking using CNN-based single object tracker with spatial-temporal attention mechanism;Chu,2017

5. An algorithm for tracking multiple targets;Reid;IEEE Trans. Autom. Control,1979

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1. GLAN: A graph-based linear assignment network;Pattern Recognition;2024-11

2. Multi-camera multi-object tracking on the move via single-stage global association approach;Pattern Recognition;2024-08

3. HCgNet: A hierarchical context-guided network for multi-object tracking;Knowledge-Based Systems;2024-08

4. Multi-object tracking via deep feature fusion and association analysis;Engineering Applications of Artificial Intelligence;2023-09

5. PANet: An End-to-end Network Based on Relative Motion for Online Multi-object Tracking;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-07-12
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