Airborne target tracking algorithm against oppressive decoys in infrared imagery

2009 ◽  
Author(s):  
Xiechang Sun ◽  
Tianxu Zhang
Keyword(s):  
Target Tracking ◽  
Tracking Algorithm ◽  
Infrared Imagery ◽  
Airborne Target

scholarly journals Learning to Track Aircraft in Infrared Imagery

2020 ◽  
Vol 12 (23) ◽  
pp. 3995
Author(s):  
Sijie Wu ◽  
Kai Zhang ◽  
Shaoyi Li ◽  
Jie Yan
Keyword(s):  
Target Tracking ◽  
Signal To Noise Ratio ◽  
Feature Learning ◽  
Tracking Algorithm ◽  
Correlation Filters ◽  
Infrared Imagery ◽  
Feature Representations ◽  
Domain Specific ◽  
Tightly Coupled ◽  
Airborne Target

Airborne target tracking in infrared imagery remains a challenging task. The airborne target usually has a low signal-to-noise ratio and shows different visual patterns. The features adopted in the visual tracking algorithm are usually deep features pre-trained on ImageNet, which are not tightly coupled with the current video domain and therefore might not be optimal for infrared target tracking. To this end, we propose a new approach to learn the domain-specific features, which can be adapted to the current video online without pre-training on a large datasets. Considering that only a few samples of the initial frame can be used for online training, general feature representations are encoded to the network for a better initialization. The feature learning module is flexible and can be integrated into tracking frameworks based on correlation filters to improve the baseline method. Experiments on airborne infrared imagery are conducted to demonstrate the effectiveness of our tracking algorithm.

The Study on Weighted Target Tracking Algorithm for Binary Sensor Networks

2010 ◽  
Vol 32 (9) ◽  
pp. 2052-2057
Author(s):  
Xiao-yan Sun ◽  
Jian-dong Li ◽  
Yan-hui Chen ◽  
Wen-zhu Zhang ◽  
Jun-liang Yao
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Tracking Algorithm ◽  
Binary Sensor

Decision fusion algorithm for target tracking in forward-looking infrared imagery

2004 ◽  
Author(s):  
Amer Dawoud ◽  
Mohammad S. Alam ◽  
Abdullah Bal ◽  
Chey H. Loo
Keyword(s):  
Target Tracking ◽  
Decision Fusion ◽  
Infrared Imagery ◽  
Fusion Algorithm ◽  
Forward Looking

Target tracking algorithm based on a broad learning system

2021 ◽  
Vol 65 (5) ◽  
Author(s):  
Dan Zhang ◽  
Tieshan Li ◽  
C. L. Philip Chen ◽  
He Yang
Keyword(s):  
Target Tracking ◽  
Tracking Algorithm ◽  
Learning System
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