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《Infrared Technology》 2019-06
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Implementation of Infrared Target Detection System Based on FPGA

LIU Yuan;LI Qing;LIANG Yanju;CAS R&D Center for Internet of Things;University of Chinese Academy of Sciences;Institute of Microelectronics of Chinese Academy of Sciences;  
Infrared vision is widely used in the field of military and civilian surveillance. Automatic target detection can effectively improve efficiency and reduce manual effort. In this paper, an infrared target detection system based on FPGA is realized. First, after evaluating the system's static and dynamic resource requirements, the system hardware architecture with FPGA as the core processor is provided. Subsequently,an automatic target detection image software based on FPGA is introduced. Infrared signals from the image,after undergoing pre-processing such as two-point correction and blind element compensation, are given as background model inputs, and thereafter background modeling is performed using the mixture of Gaussians approach. The established background model can automatically detect the foreground target object and highlight the detected area around the target. The experimental results show that the proposed system can effectively detect infrared targets under bright backgrounds.
【Fund】: 面向智能驾驶的新能源汽车电子开发平台建设与产业化(KFJ-STS-ZDTP-045)
【CateGory Index】: TN791;TN215
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