RSMOT: Remote Sensing Multi-Object Tracking Network with Local Motion Prior for Objects in Satellite Videos
Author:
Affiliation:
1. National University of Defense Technology,Changsha,China,410073
2. National Airspace Technology Key Laboratory,Beijing,China,100085
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884360.pdf?arnumber=9884360
Reference8 articles.
1. Track to Detect and Segment: An Online Multi-Object Tracker
2. Detecting and tracking small and dense moving objects in satellite videos: A benchmark;yin;TGRS,2021
3. Deep layer ag-gregation;yu;CVPR,2018
4. Simple online and realtime tracking with a deep association metric
5. Adam: A method for stochastic optimization;kingma;CoRR abs/1412 6980,2015
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. Multi-Object Tracking in Satellite Videos Considering Weak Feature Enhancement;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. CFTracker: Multi-Object Tracking With Cross-Frame Connections in Satellite Videos;IEEE Transactions on Geoscience and Remote Sensing;2023
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