Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking
Author:
Affiliation:
1. Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China
2. Guangdong Laboratory of Artificial Intelligence and Digital Economy,ShenZhen,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032305/10032324/10032408.pdf?arnumber=10032408
Reference36 articles.
1. Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras
2. FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking
3. Deep learning for person re-identification: A survey and outlook;ye;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021
4. Simple online and realtime tracking with a deep association metric
5. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
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