Architectures and algorithms for image and video processing using FPGA-based platform

J. Pandey, Arindam Karmakar, S. Gurunarayanan
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引用次数: 5

Abstract

The work illustrates the use of platform-based design to achieve efficiently-configured hardware-software system solution that can meet the conflicting demands of high performance, low power and quick turnaround time for embedded system development. It presents embedded system design techniques using field-programmable gate arrays (FPGAs) for image and video processing application. Here, by identifying, building and integrating all necessary hardware and software components, an embedded implementation of a kernel-based mean shift (KBMS) object tracking algorithm has been proposed [1]. To fulfill the specific needs of hardware/software implementation Virtex-5 FXT FPGA device (which has an embedded PowerPC processor) available on Xilinx ML-507 platform has been used [2].
基于fpga平台的图像和视频处理体系结构和算法
该工作说明了使用基于平台的设计来实现有效配置的硬件软件系统解决方案,可以满足嵌入式系统开发中高性能,低功耗和快速周转时间的冲突需求。介绍了应用现场可编程门阵列(fpga)进行图像和视频处理的嵌入式系统设计技术。本文通过识别、构建和集成所有必要的硬件和软件组件,提出了一种基于核的平均移位(KBMS)目标跟踪算法的嵌入式实现[1]。为了满足硬件/软件实现的特定需求,使用了Xilinx ML-507平台上可用的Virtex-5 FXT FPGA器件(具有嵌入式PowerPC处理器)[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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