scholarly journals Aircraft tracking in infrared imagery with adaptive learning and interference suppression

2021 ◽  
Author(s):  
Sijie Wu ◽  
Kai Zhang ◽  
Shaoyi Li ◽  
Jie Yan
Keyword(s):  
Adaptive Learning ◽  
Interference Suppression ◽  
Infrared Imagery ◽  
Aircraft Tracking

scholarly journals Anti-Interference Aircraft-Tracking Method in Infrared Imagery

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1289
Author(s):  
Sijie Wu ◽  
Kai Zhang ◽  
Saisai Niu ◽  
Jie Yan
Keyword(s):  
Infrared Imaging ◽  
Comprehensive Evaluation ◽  
Infrared Image ◽  
Image Sequences ◽  
Tracking Performance ◽  
Infrared Imagery ◽  
Tracking Method ◽  
Tracking Process ◽  
Aircraft Tracking ◽  
Infrared Signature

In this paper, we focus on developing an algorithm for infrared-imaging guidance that enables the aircraft to be reliably tracked in the event of interference. The key challenge is to track the aircraft with occlusion caused by decoys and drastic appearance changes resulting from a diversity of attacking angles. To address this challenge, an aircraft-tracking algorithm was proposed, which provides robustness in tracking the aircraft against the decoys. We reveal the inherent structure and infrared signature of the aircraft, which are used as discriminative features to track the aircraft. The anti-interference method was developed based on simulated images but validate the effectiveness on both real infrared image sequences without decoys and simulated infrared imagery. For frequent occlusion caused by the decoys, the mechanism of occlusion detection is exploited according to the variation of the model distance in tracking process. To have a comprehensive evaluation of tracking performance, infrared-image sequences with different attack angles were simulated, and experiments on benchmark trackers were performed to quantitatively evaluate tracking performance. The experiment results demonstrate that our aircraft-tracking method performs favorably against state-of-the-art trackers.

Joint Feature Embedding Learning and Correlation Filters for Aircraft Tracking with Infrared Imagery

2021 ◽  
Author(s):  
Sijie Wu ◽  
Kai Zhang ◽  
Shaoyi Li ◽  
Jie Yan
Keyword(s):  
Correlation Filters ◽  
Infrared Imagery ◽  
Aircraft Tracking

Adaptive Learning Across Task Environments

2004 ◽  
Author(s):  
Bradley C. Love
Keyword(s):  
Adaptive Learning ◽  
Task Environments

A combined forced-attention dichotic listening – Go/Nogo task to assess response inhibition and interference suppression: An auditory event-related potential investigation.

2019 ◽  
Vol 33 (8) ◽  
pp. 1136-1150
Author(s):  
Nathalie Bedoin ◽  
Raphaëlle Abadie ◽  
Jennifer Krzonowski ◽  
Emmanuel Ferragne ◽  
Agathe Marcastel
Keyword(s):  
Response Inhibition ◽  
Dichotic Listening ◽  
Interference Suppression ◽  
Event Related Potential ◽  
Auditory Event

Adaptive learning circuit based on the walsh transform

1992 ◽  
Vol 139 (1) ◽  
pp. 23 ◽  
Author(s):  
V.G. Endean
Keyword(s):  
Adaptive Learning ◽  
Walsh Transform

Human Tracking in Crowded Scenes Using Integration of Three Kinds of Models and Adaptive Learning

2017 ◽  
Vol 137 (9) ◽  
pp. 1258-1265
Author(s):  
Hiromasa Takada ◽  
Kazuhiro Hotta
Keyword(s):  
Adaptive Learning ◽  
Human Tracking ◽  
Crowded Scenes
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