| 基于FPGA的稠密光流计算系统 |
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| 引用本文： | 马 骏,柴志雷,王芝斌,钟传杰.基于FPGA的稠密光流计算系统[J].计算机工程与应用,2016,52(3):139-144. |
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| 作者姓名： | 马 骏 柴志雷 王芝斌 钟传杰 |
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| 作者单位： | 江南大学 物联网工程学院 轻工过程先进控制重点实验室（教育部），江苏 无锡 214122 |
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| 摘 要： | 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（Combined- Brightness-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。
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| 关 键 词： | 光流计算 超松弛法 现场可编辑门阵列 并行计算 实时性 |
FPGA-based dense optical flow computing system |
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| MA Jun,CHAI Zhilei,WANG Zhibin,ZHONG Chuanjie.FPGA-based dense optical flow computing system[J].Computer Engineering and Applications,2016,52(3):139-144. |
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| Authors: | MA Jun CHAI Zhilei WANG Zhibin ZHONG Chuanjie |
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| Affiliation: | Key Laboratory of Advanced Process Control for?Light?Industry（Ministry of Education）, College of Internet of Things, Jiangnan University, Wuxi, Jiangsu 214122, China |
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| Abstract: | 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. |
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| Keywords: | optical flow computation successive over relaxation method Field Programmable Gate Arrays（FPGA） parallel computing real-time performance |
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