Automatic Target Tracking in FLIR Image Sequences Using Intensity Variation Function and Template Modeling

2005 ◽  
Vol 54 (5) ◽  
pp. 1846-1852 ◽  
Author(s):  
A. Bal ◽  
M.S. Alam
Keyword(s):  
Target Tracking ◽  
Intensity Variation ◽  
Image Sequences ◽  
Variation Function

scholarly journals An Improved Kernelized Correlation Filter Algorithm for Underwater Target Tracking

2018 ◽  
Vol 8 (11) ◽  
pp. 2154 ◽  
Author(s):  
Xingmei Wang ◽  
Guoqiang Wang ◽  
Zhonghua Zhao ◽  
Yue Zhang ◽  
Binghua Duan
Keyword(s):  
Target Tracking ◽  
Adaptive Filter ◽  
Poor Performance ◽  
Image Sequences ◽  
Correlation Filter ◽  
Tracking Errors ◽  
The Poor ◽  
Continuous Scale ◽  
Underwater Target ◽  
Update Strategy

To obtain accurate underwater target tracking results, an improved kernelized correlation filter (IKCF) algorithm is proposed to track the target in forward-looking sonar image sequences. Specifically, a base sample with a dynamically continuous scale is first applied to solve the poor performance of fixed-scale filters. Then, in order to prevent the filter from drifting when the target disappears and appears again, an adaptive filter update strategy with the peak to sidelobe ratio (PSR) of the response diagram is developed to solve the following target tracking errors. Finally, the experimental results show that the proposed IKCF can obtain accurate tracking results for the underwater targets. Compared to other algorithms, the proposed IKCF has obvious superiority and effectiveness.

Multiscale approaches to target tracking in image sequences

1994 ◽  
Author(s):  
Thomas G. Allen ◽  
Mark R. Luettgen ◽  
Alan S. Willsky
Keyword(s):  
Target Tracking ◽  
Image Sequences

scholarly journals A Study of LM-IHPDA Algorithm for Multi-Target Tracking in Infrared Image Sequences

2013 ◽  
Vol 19 (3) ◽  
pp. 209-218 ◽  
Author(s):  
Tae Han Kim ◽  
Byung In Choi ◽  
Ji Eun Kim ◽  
Yu Kyung Yang ◽  
Taek Lyul Song
Keyword(s):  
Target Tracking ◽  
Infrared Image ◽  
Image Sequences ◽  
Multi Target Tracking
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