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ZedBoard开发平台的实时人脸检测系统设计
资料介绍
采用Xilinx公司以FPGA+ARM为核心处理器的ZedBoard全可编程SoC开发平台,使用Vivado为嵌入式系统加速配置硬件外设,灵活运用PetaLinux为该处理器定制、构建和调配嵌入式系统所需的组件。利用FPGA并行处理的特性对采集的图像进行灰度化和滤波处理,并通过AXI_HP总线将处理后的数据传回到DDR3中,在ARM中读取DDR3中的数据并采用Viola-Jones人脸检测算法完成实时人脸检测系统设计。
In the paper,Xilinx ZedBoard all programmable SoC development platform with FPGA+ARM is used as the core processor,Vivado is used to accelerate the configuration of hardware peripherals for embedded systems,and PetaLinux is used to customize,build and provision components for embedded systems.The acquired image is grayed and filtered by the characteristics of FPGA parallel processing and the processed data is transferred back to DDR3 through AXI_HP bus.The data in DDR3 is read in ARM and Viola-Jones face detection algorithm is used to complete the design of the real-time face detection system.
部分文件列表
| 文件名 | 大小 |
| ZedBoard开发平台的实时人脸检测系统设计.pdf | 1M |
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