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A real-time tracking system of infrared dim and small target based on FPGA and DSP

机译:基于FPGA和DSP的红外弱小目标实时跟踪系统

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A core technology in the infrared warning system is the detection tracking of dim and small targets with complicated background. Consequently, running the detection algorithm on the hardware platform has highly practical value in the military field. In this paper, a real-time detection tracking system of infrared dim and small target which is used FPGA (Field Programmable Gate Array) and DSP (Digital Signal Processor) as the core was designed and the corresponding detection tracking algorithm and the signal flow is elaborated. At the first stage, the FPGA obtain the infrared image sequence from the sensor, then it suppresses background clutter by mathematical morphology method and enhances the target intensity by Laplacian of Gaussian operator. At the second stage, the DSP obtain both the original image and the filtered image form the FPGA via the video port. Then it segments the target from the filtered image by an adaptive threshold segmentation method and gets rid of false target by pipeline filter. Experimental results show that our system can achieve higher detection rate and lower false alarm rate.
机译:红外预警系统的一项核心技术是对具有复杂背景的昏暗和小目标进行检测跟踪。因此,在硬件平台上运行检测算法在军事领域具有很高的实用价值。本文设计了一种以FPGA(现场可编程门阵列)和DSP(数字信号处理器)为核心的红外弱小目标实时检测跟踪系统,并给出了相应的检测跟踪算法和信号流。详细说明。首先,FPGA从传感器获取红外图像序列,然后通过数学形态学方法抑制背景杂波,并通过高斯算子的Laplacian增强目标强度。在第二阶段,DSP通过视频端口从FPGA获得原始图像和滤波后的图像。然后通过自适应阈值分割方法从滤波后的图像中分割出目标,并通过流水线滤波器消除虚假目标。实验结果表明,该系统可以达到较高的检测率和较低的误报率。

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