Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Author:
Affiliation:
1. Carnegie Mellon University
2. Shanghai AI Laboratory
3. Nvidia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204818.pdf?arnumber=10204818
Reference75 articles.
1. Learning a Proposal Classifier for Multiple Object Tracking
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3. Transmot: Spatial-temporal graph transformer for multiple object tracking;chu;ArXiv Preprint,2021
4. Tracking Pedestrian Heads in Dense Crowd
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