基于FPGA+DSP架构的嵌入式视觉跟踪系统

针对视觉监控应用的实时性需求,提出了一种基于FPGA+DSP架构的嵌入式视觉跟踪系统。以FPGA作为主控制器,负责视频的采集,并对图像进行了自动调光、色彩插值、中值滤波和白平衡预处理,通过PCIE接口将DSP的处理结果输出至上位机进行了显示。DSP通过EMIFA接口从FPGA接口获得了高质量的图像,采用基于均值漂移的跟踪算法进行了目标跟踪。阐述了系统各个模块的接口设计及主要算法的实现,并进行了系统的优化设计。实验结果表明,经过预处理后,图像亮度适中,图像色温得到了校正,系统能够获得高质量的图像。经过代码优化后,跟踪算法能够稳定跟踪目标,算法处理每帧图像平均时间为13ms,能够满足实时性要求。

Embedded vision tracking system based on DSP + FPGA

Aiming at the problem of real-time requirement in visual surveillance applications,embedded vision tracking system based on DSP + FPGA architecture was proposed.Video capture and image preprocessing procedures,including auto-exposure,color interpolation,median filtering,and white balance,were first carried out using FPGA as main controller.DSP processing results were then exported into host computer for display through PCIE interface.High-quality images were obtained from FPGA to DSP through EMIFA interface,and meanshiftbased tracking algorithm was adopted to track target in DSP.The design of module interface and implementation of main algorithms were introduced,and system optimal design was performed.The experimental results indicate that the system can obtain high-quality images,where image brightness is moderate and color temperature is corrected.The target can be tracked stably and in time after code optimization.The average processing time per frame for tracking algorithm is 13 ms,which can meet real-time requirement.