基于FPGA的稠密光流计算系统

FPGA-based dense optical flow computing system

高质量的稠密光流算法计算复杂度很高,因此计算速度成为制约其在实际系统中应用的重要原因。针对这一问题,利用现场可编程门阵列(FPGA)的细粒度并行特性,实现了一种高质量的稠密光流算法CBG(CombinedBrightness-Gradient)的硬件加速器。实验结果表明,在FPGA工作频率200 MHz,计算全部像素对应的光流信息的情况下,该系统处理分辨率为316×252的图像序列的帧频可达40 frame/s。

High-quality algorithms for dense optical flow computation are computationally expensive, which limits their usability in real-world applications. In order to solve this problem, the hardware accelerator is applied for a high-quality dense optical flow algorithm by CBG （Combined-Brightness-Gradient） model, based on fine-grained parallelisms of FPGAs （Field Programmable Gate Arrays）. Experimental results show that 40 frame/s can be processed in time when the working frequency is 200 MHz and the image size is 316×252. Furthermore, optical flow fields for all pixels instead of selected areas are computed for designing.