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Proceedings Paper

Particle filter tracking method for small infrared target based on combination of the high frequency feature
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Paper Abstract

The simplistic infrared target observation feature is the main reason for that the particle filter tracking algorithm are always failed. Considering the limitations of infrared target feature description, we constructed an observation model based on high frequency features and high frequency features. The template update method was also analyzed. Finally, we designed the flow of particle filter tracking algorithm combining the gray feature and the high frequency feature. The simulation results show that proposed method has the good robustness and accuracy in infrared target tracking under complex background.

Paper Details

Date Published: 12 March 2020
PDF: 11 pages
Proc. SPIE 11441, 2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications, 114410L (12 March 2020);
Show Author Affiliations
Miao Yan, Space Engineering Univ. (China)
Fei Zhao, Beijing Institute of Technology (China)
Hongyan Wang, Space Engineering Univ. (China)


Published in SPIE Proceedings Vol. 11441:
2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications
Cunlin Zhang; Xi-Cheng Zhang; Zhiming Huang, Editor(s)

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