Abstract | ||
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We present a multi-object tracking (MOT) approach to track small moving targets in satellite images. Our objects of interest span few pixels, do not present a defined texture, and are easily lost in cluttered environments. We propose a patch-based convolutional neural network (CNN) that focuses on specific regions to detect and discriminate nearby small objects. We use the object motion informatio... |
Year | DOI | Venue |
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2021 | 10.1109/MLSP52302.2021.9596204 | 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) |
Keywords | DocType | ISSN |
Target tracking,Small satellites,Signal processing algorithms,Object detection,Filtering algorithms,Signal processing,Information filters | Conference | 2161-0363 |
ISBN | Citations | PageRank |
978-1-7281-6338-3 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Camilo Aguilar | 1 | 0 | 0.34 |
Mathias Ortner | 2 | 78 | 10.81 |
Josiane Zerubia | 3 | 2032 | 232.91 |