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Proceedings Paper

Infrared target detection and tracking based on brain-inspired model and DNNs
Author(s): Yong Song; Yufei Zhao; Xin Yang; Yao Wu; Feifei Teng; Qun Hao
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Paper Abstract

Infrared target detection and tracking technology has been widely used in the fields of transportation, medical, safety and military affairs, etc. However, there stills exists some challenges in infrared target detection and tracking, such as dim small target, complex background, target occlusion and appearance changes, etc. On the other hand, as the most effective bio-intelligence system, Human Visual System (HVS) has significant advantages in image processing. In this paper, several brain-inspired models (including lateral inhibition, receptive field, synchronous burst, visual attention, and cognitive memory) and Deep Neural Networks (DNNs) have been studied. Furthermore, the relevant mathematical models are established, the corresponding algorithms are proposed, and the comparison experiments are conducted. In summary, applying the brain-inspired models and DNNs to the infrared target detection and tracking is beneficial to achieve the accurate infrared target detection and robust tracking under complex conditions.

Paper Details

Date Published: 12 March 2020
PDF: 10 pages
Proc. SPIE 11441, 2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications, 114410B (12 March 2020); doi: 10.1117/12.2543847
Show Author Affiliations
Yong Song, Beijing Institute of Technology (China)
Beijing Key Lab. for Precision Optoelectronic Measurement Instrument and Technology (China)
Yufei Zhao, Beijing Institute of Technology (China)
Beijing Key Lab. for Precision Optoelectronic Measurement Instrument and Technology (China)
Xin Yang, Beijing Institute of Technology (China)
Beijing Key Lab. for Precision Optoelectronic Measurement Instrument and Technology (China)
Yao Wu, Xi'an Research Institute of Applied Optics (China)
Feifei Teng, Xi'an Research Institute of Applied Optics (China)
Qun Hao, Beijing Institute of Technology (China)
Beijing Key Lab. for Precision Optoelectronic Measurement Instrument and Technology (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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