Object Tracking in Satellite Videos Based on Convolutional Regression Network With Appearance and Motion Features

Object tracking is one of the most important components in numerous applications of computer vision. Remote sensing videos provided by commercial satellites make it possible to extend this topic into the earth observation domain. In satellite videos, typical moving targets like vehicles and planes o...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2020, Vol.13, p.783-793
Hauptverfasser:	Hu, Zhaopeng, Yang, Daiqin, Zhang, Kao, Chen, Zhenzhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Benchmarks Computer vision Convolutional neural networks (CNNs) deep learning Earth observations (from space) Feature extraction Handicrafts Machine learning Methods Motion perception Movement Moving targets Neural networks Object tracking Optical tracking Performance enhancement Regression models Remote sensing Satellite observation Satellite tracking satellite video Satellites Target tracking Videos
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