So you think you can track?
Author:
Affiliation:
1. Vanderbilt University,Nashville,TN,37212
2. Rutgers University-Camden,Camden,NJ,08102
3. UC Berkeley University,Berkeley,CA,94720
4. Temple University,Philadelphia,PA,19122
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484183.pdf?arnumber=10484183
Reference57 articles.
1. Speeded-Up Robust Features (SURF)
2. Tracking Without Bells and Whistles
3. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics
4. Simple online and realtime tracking
5. High-Speed tracking-by-detection without using image information
Cited by 2 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. LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios;Machine Learning;2024-07-15
2. Automatic vehicle trajectory data reconstruction at scale;Transportation Research Part C: Emerging Technologies;2024-03
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