摘要
目前国内多数红外图像实时跟踪系统采用DSP为核心处理器的结构,存在电路复杂、成本高的缺点。开发在FPGA中实现以NiosⅡ为核心的红外图像实时跟踪系统,采用NiosⅡ实现目标跟踪算法,利用硬件实现图像预处理,软硬件协同完成实时跟踪,实验结果表明,系统体积小、功耗低、实时性强,在复杂的天空背景下,能够稳定、精确地跟踪飞行目标。
At present many infrared image auto-tracking systems adopt the framework with DSP as the core processor, which has the disadvantage of complex circuit and high cost. We designed a real-time tracking system based on software core Nios Ⅱ in FPGA. Nios Ⅱ was used to realize image segmentation and maneuvering target prediction. Image pre-processing was realized by hardware, and real-time tracking was implemented by cooperation of hardware and software. Experiment resuk showed that the system has small volume, low power consumption and good real-time performance, which can track the moving target more stably and accurately under complex conditions in the air.
出处
《电光与控制》
北大核心
2008年第3期90-93,96,共5页
Electronics Optics & Control
