利用边缘宽度信息在实时视频流中自动实时提取聚焦区域

18th International Symposium on VLSI Design and Test Pub Date : 2014-07-16 DOI:10.1109/ISVDAT.2014.6881046

Sanjay Singh, Sumeet Saurav, Ravi Saini, Anil K. Saini, C. Shekhar, Anil Vohra

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引用次数: 1

摘要

本文设计了一种用于视频序列聚焦区域提取的专用VLSI架构，并在Virtex-5 (ML510) FPGA平台上实现。聚焦区域的提取采用基于边缘宽度的方法。该体系结构旨在满足视频监控应用的实时性要求。该算法能够对标准PAL大小的彩色视频实时鲁棒地提取视频流中的焦点区域。

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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Automatic real-time extraction of focused regions in a live video stream using edge width information

This paper presents the design of a dedicated VLSI architecture for focused region extraction in a video sequence and its implementation on Virtex-5 (ML510) FPGA platform. Edge width based scheme is used for focused region extraction. The proposed architecture is designed to meet the real-time requirements of video surveillance applications. It is capable of robustly extracting the focused regions in a live video stream in real-time for standard PAL size color video.

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18th International Symposium on VLSI Design and Test

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