DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9577055/9577056/09577689.pdf?arnumber=9577689
Cited by 26 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. Multi-camera multi-object tracking on the move via single-stage global association approach;Pattern Recognition;2024-08
2. An Instance-Level Motion-Aware Graph Model for Multi-target Multi-camera Tracking;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. Multi-Target Multi-Camera Tracking based on lightweight detector;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08
4. Learning to Track With Dynamic Message Passing Neural Network for Multi-Camera Multi-Object Tracking;IEEE Access;2024
5. Distributed multi-target tracking and active perception with mobile camera networks;Computer Vision and Image Understanding;2024-01
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