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Object Tracking in Satellite Videos by Improved Correlation Filters With Motion Estimations
As a new method of Earth observation, video satellite is capable of monitoring specific events on the Earth's surface continuously by providing high-temporal resolution remote sensing images. The video observations enable a variety of new satellite applications such as object tracking and road...
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Published in: | IEEE transactions on geoscience and remote sensing 2020-02, Vol.58 (2), p.1074-1086 |
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container_title | IEEE transactions on geoscience and remote sensing |
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creator | Xuan, Shiyu Li, Shengyang Han, Mingfei Wan, Xue Xia, Gui-Song |
description | As a new method of Earth observation, video satellite is capable of monitoring specific events on the Earth's surface continuously by providing high-temporal resolution remote sensing images. The video observations enable a variety of new satellite applications such as object tracking and road traffic monitoring. In this article, we address the problem of fast object tracking in satellite videos, by developing a novel tracking algorithm based on correlation filters embedded with motion estimations. Based on the kernelized correlation filter (KCF), the proposed algorithm provides the following improvements: 1) proposing a novel motion estimation (ME) algorithm by combining the Kalman filter and motion trajectory averaging and mitigating the boundary effects of KCF by using this ME algorithm and 2) solving the problem of tracking failure when a moving object is partially or completely occluded. The experimental results demonstrate that our algorithm can track the moving object in satellite videos with 95% accuracy. |
doi_str_mv | 10.1109/TGRS.2019.2943366 |
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subjects | Algorithms Correlation Correlation filter Earth Earth observations (from space) Earth surface Filters Kalman filters Monitoring motion estimation (ME) Motion simulation Movement Moving object recognition Object tracking Optical filters Remote sensing Satellite observation Satellite tracking satellite videos Satellites Temporal resolution Videos |
title | Object Tracking in Satellite Videos by Improved Correlation Filters With Motion Estimations |
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