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

Miao Yan; Fei Zhao; Hongyan Wang

doi:10.1117/12.2551748

12 March 2020 Particle filter tracking method for small infrared target based on combination of the high frequency feature

Miao Yan, Fei Zhao, Hongyan Wang

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Proceedings Volume 11441, 2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications; 114410L (2020) https://doi.org/10.1117/12.2551748
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

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.

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Miao Yan, Fei Zhao, and Hongyan Wang "Particle filter tracking method for small infrared target based on combination of the high frequency feature", Proc. SPIE 11441, 2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications, 114410L (12 March 2020); https://doi.org/10.1117/12.2551748

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KEYWORDS

Detection and tracking algorithms

Infrared radiation

Infrared imaging

Particles

Motion models

Particle filters

Linear filtering

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