关键词: 光流加速器, ZYNQ, 高层综合语言, 软硬件协同处理, 可编程器件

Abstract: Techniques of optical flow computation are widely used in many video/image based applications such as motion detection, motion estimation and video analysis etc. However, high-quality optical flow algorithms are computationally intensive. Slow computation limits the applicability of optical flow computation in real-world applications, especially in embedded systems. In this paper, an implementation of Horn-Schunck optical flow algorithm based on Xilinx ZYNQ is presented. The High-Level Synthesis（HLS） language together with traditional hardware description language is used to describe optical flow accelerator in the software-hardware co-processing mode. Taking resolution 640×480 as instance, the result shows that FPGA-accelerated HS outperforms 34x than the pure software vision on ZYNQ. The execution time is decreased from 24.40 s to 0.71 s.

Key words: optical flow accelerator, ZYNQ, high-level synthesis language, software-hardware co-processing, Field-Programmable Gate Array（FPGA）