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FPGA Based Human Detection Using Background Subtraction

机译:基于FPGA的人类检测使用背景减法

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摘要

Detection of Human is a vital and difficult task in computer vision applications like police investigation, vehicle tracking and human following. Human detection in video stream is very important in public security management. In such security related cases detecting of object in video sequences is very important to understand the behavior of moving object normally background subtraction is used. In this paper we proposed a new hardware implementation of human detection based on background subtraction technique. The proposed architecture is coded using standard VHDL language and performance is checked in Spartan-6 FPGA board. The comparison result shows that the proposed architecture is better than existing in both hardware and image quality than existing techniques.
机译:人类检测是在警察调查,车辆跟踪和人类之类的计算机视觉应用中的一个重要和艰巨的任务。视频流中的人类检测在公共安全管理中非常重要。在这种安全相关情况下,检测视频序列中的对象对于了解移动对象的行为通常是非常重要的,通常使用背景减法。在本文中,我们提出了基于背景减法技术的人为检测的新硬件实现。所提出的架构是使用标准VHDL语言编码的,在Spartan-6 FPGA板中检查性能。比较结果表明,所提出的架构优于硬件和图像质量方而不是现有技术。

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