基于FPGA的红外目标自动检测系统

红外成像在军民监控领域广泛应用,红外自动目标检测能减少人工参与,有效提高效率.本文实现了基于FPGA的红外目标检测系统,首先对系统的硬件资源需求进行评估,并设计了以FPGA为核心处理器的系统硬件平台.其次,开发了基于FPGA的红外目标自动检测处理流程,经过两点校正与盲元补偿等预处理后的红外图像信号,通过混合高斯背景建模的方法建立背景模型,自动检测前景目标,再将目标区域周围高亮标识出来.实测结果表明,该系统可有效检测出高亮背景下的红外目标.

Implementation of Infrared Target Detection System Based on FPGA

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.