Title
Small Moving Target MOT Tracking with GM-PHD Filter and Attention-Based CNN
Abstract
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
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 Aguilar100.34
Mathias Ortner27810.81
Josiane Zerubia32032232.91