CFTracker: Multi-Object Tracking With Cross-Frame Connections in Satellite Videos
Author:
Affiliation:
1. Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
Key Laboratory fund of Chinese Academy of Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10129959.pdf?arnumber=10129959
Reference36 articles.
1. Needles in a Haystack: Tracking City-Scale Moving Vehicles From Continuously Moving Satellite
2. Observation-centric SORT: Rethinking SORT for robust multi-object tracking;cao;arXiv 2203 14360,2022
3. Moving vehicle detection, tracking and traffic parameter estimation from a satellite video: a perspective on a smarter city
4. Tracking Without Bells and Whistles
5. The Hungarian method for the assignment problem
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2. MCTracker: Satellite video multi-object tracking considering inter-frame motion correlation and multi-scale cascaded feature enhancement;ISPRS Journal of Photogrammetry and Remote Sensing;2024-08
3. TabCtNet: Target-aware bilateral CNN-transformer network for single object tracking in satellite videos;International Journal of Applied Earth Observation and Geoinformation;2024-04
4. SIRS: Multitask Joint Learning for Remote Sensing Foreground-Entity Image–Text Retrieval;IEEE Transactions on Geoscience and Remote Sensing;2024
5. Advancing Multiobject Tracking for Small Vehicles in Satellite Videos: A More Focused and Continuous Approach;IEEE Transactions on Geoscience and Remote Sensing;2024
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