基于ARM和Linux的嵌入式智能网络视频监控系统

Yusen Li, Pengfei Qu
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引用次数: 1

摘要

介绍了基于嵌入式系统的网络视频监控系统的设计和实现方法。本系统选用基于ARM9架构的S3C2440作为嵌入式处理器,采用稳定高效的Linux系统作为操作系统。在普通远程网络视频监控系统的基础上,增加了一种新的运动目标检测算法,采用一种自适应背景减法算法实现了入侵检测系统。当入侵发生时,GPRS将发送报警信息。用户可以通过浏览网页的方式获取实时视频数据。通过这种方式实现了远程智能视频监控。经过测试,该系统体积小、灵活、可靠性高,为入侵检测提供了一种快速、准确的方法。与传统的视频监控系统相比,该系统更便宜、更智能、更实用。
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The embedded intelligent network video surveillance system based on ARM and Linux
This paper introduces the design and implementation measures of the network video surveillance system based on embedded system. This system chooses S3C2440 which based on ARM9 architecture as an embedded processor and uses the stable and efficient Linux system as its operating system. Based on the ordinary remote network video surveillance system, a new algorithm for detecting moving abject is added, and the Intrusion Detection system is realized by a kind of adaptive background subtraction algorithm. When the invasion occurs, GPRS will send an alarm message. Users can get realtime video data through the way of browsing web. In this way remote intelligent video surveillance is realized. Through testing, the system is small and flexible, high reliability, and provide a quick and accurate way of intrusion detection. Compared with the traditional video surveillance system, the system is cheaper, more intelligent, and more practical.
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