Infrared target detection and tracking based on brain-inspired model and DNNs

Yong Song; Yufei Zhao; Xin Yang; Yao Wu; Feifei Teng; Qun Hao

doi:10.1117/12.2543847

12 March 2020 Infrared target detection and tracking based on brain-inspired model and DNNs

Yong Song, Yufei Zhao, Xin Yang, Yao Wu, Feifei Teng, Qun Hao

Proceedings Volume 11441, 2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications; 114410B (2020) https://doi.org/10.1117/12.2543847
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

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.

Citation Download Citation

Yong Song, Yufei Zhao, Xin Yang, Yao Wu, Feifei Teng, and Qun Hao "Infrared target detection and tracking based on brain-inspired model and DNNs", Proc. SPIE 11441, 2019 International Conference on Optical Instruments and Technology: IRMMW-THz Technologies and Applications, 114410B (12 March 2020); https://doi.org/10.1117/12.2543847

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KEYWORDS

Target detection

Infrared detectors

Detection and tracking algorithms

Lithium

Infrared radiation

Image processing

Infrared imaging

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