TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot
Author:
Affiliation:
1. Research Center for Intelligent Robotics, Zhejiang Lab and Zhejiang Engineering Research Center for Intelligent Robotics,Hangzhou,China,311100
2. Dalhousie University,Department of Electrical and Computer Engineering,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011626/10011636/10011698.pdf?arnumber=10011698
Reference30 articles.
1. Bytetrack: Multi-object tracking by associating every detection box;zhang;ArXiv Preprint,2021
2. Simple online and realtime tracking
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4. Transcenter: Transformers with dense queries for multiple-object tracking;xu;ArXiv Preprint,2021
5. Tracking objects as points;zhou;European Conference on Computer Vision,2020
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1. Reducing the Computational Cost of Transformers for Person Re-identification;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04
2. A Joint Tracking System: Robot is Online to Access Surveillance Views;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04
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