基于ARM9的视频监控取证系统的研究
发布时间：2018-09-18 10:11
【摘要】：随着半导体产业的日益蓬勃发展,为嵌入式系统设计进一步集成化、小型化、低成本化以及其速度、可靠性、稳定性方面都带来了巨大的进步,使得嵌入式系统涉及的产业也越来越广泛,尤其是在多媒体技术和网络技术的飞速发展的情况下,嵌入式系统在传统PC占据主流的视频监控市场中也渐渐崭露头角。在安全防范技术领域中,视频监控系统的发展经历了模拟视频信号监控系统,通用计算机(PC)加载视频采集卡的数字式监控系统,以及目前得到飞速发展的嵌入式网络化的视频监控系统等几个过程,目前,监控现场视频信息的获取正在向着视频采集前端一体化、视频信号传输数字化、监控数据网络化共享、系统规模高度集成化的方向发展。因此,设计以嵌入式系统设备作为视频信号采集的前端,在前端时就将图像传感器获取的模拟图像信号转化为数字信号,通过合适的压缩算法对视频数据进行压缩,然后进行本地存储或者通过网络传输到远程的用户端,由用户直接对其进行远程控制,或是对视频信息进行后处理等工作成为当下视频监控系统发展的必然趋势。本课题提出了一种基于ARM+Linux的嵌入式视频监控系统的设计方案。 首先,在系统的硬件设计方面,以三星公司的ARM9微处理器为核心,详细论述了嵌入式视频监控系统终端的基本组成、工作原理以及其主要模块的选型依据,在现有的硬件资源上搭建监控系统实验平台,并对系统的主要硬件如Flash、SDRAM存储器、UART接口、SD卡、液晶显示器、网卡、CCD摄像头接口、USB接口、JTAG接口等进行分析,进而完成系统硬件部分的设计 其次,在软件设计方面,采用Linux作为嵌入式操作系统,对Linux系统在嵌入式设备上的移植,外围设备驱动程序的编写,视频信息的采集、存储与压缩,以及网络传输协议设计等方面进行了深入的分析,并重点研究了在嵌入式监控系统设备前端采集中融入了数字图像处理的部分内容,即在采集前端就可以对原始视频信息进行滤波降噪等图像预处理的功能,使得本系统对监控现场可能存在的复杂环境因素有了较强的抗干扰能力,经过预处理之后的视频信息,即可用于普通的人眼直接观测取证,也可用于机器视觉分析等高端技术领域。 最后在各个模块正常工作的前提下,进行系统调试、测试,针对不同场合应用不同的图像处理算法进行了实验结果的对比分析,实验证明,本系统提供给用户的软件算法功能强大,适合常见监控环境下的高质量视频图像信息取证,完全能够满足一般条件下室内或者室外安全监控领域的应用。
[Abstract]:With the rapid development of semiconductor industry, further integration, miniaturization, low cost and its speed, reliability and stability have brought great progress for embedded system design. With the rapid development of multimedia technology and network technology, embedded system is gradually emerging in the mainstream of traditional PC video surveillance market. In the field of security technology, the development of video surveillance system has experienced the analog video signal monitoring system, the digital monitoring system with (PC) loading video acquisition card. As well as the rapid development of embedded network video surveillance system and several other processes, at present, the video information acquisition on the scene is towards the video acquisition front-end integration, video signal transmission digitization, Monitoring data network sharing, the development of highly integrated system scale. Therefore, the embedded system equipment is designed as the front end of video signal acquisition. In the front end, the analog image signal obtained by the image sensor is converted into digital signal, and the video data is compressed by the appropriate compression algorithm. Then the local storage or transmission to the remote user through the network directly by the user to the remote control or the post-processing of video information become the inevitable trend of the current video monitoring system development. This paper presents a design scheme of embedded video surveillance system based on ARM Linux. First of all, in the hardware design of the system, taking the ARM9 microprocessor of Samsung as the core, the basic composition, the working principle and the selection basis of the main modules of the embedded video surveillance system terminal are discussed in detail. The main hardware of the system, such as Flash,SDRAM memory UART interface SD card, liquid crystal display, network card, Flash,SDRAM camera interface and JTAG interface, is built up on the existing hardware resources, and the main hardware of the system is analyzed, such as the Flash,SDRAM memory and the UART interface SD card, the LCD, the network card CCD camera interface and the JTAG interface, etc. Secondly, in software design, Linux is used as embedded operating system to transplant Linux system on embedded device, write peripheral device driver, collect video information. The storage and compression, as well as the design of network transmission protocol, are deeply analyzed, and some contents of digital image processing are mainly studied in the front end of embedded monitoring system. That is, the image preprocessing function such as filtering and de-noising of the original video information can be carried out in the front end of the acquisition, which makes the system have a strong anti-interference ability to the complex environmental factors that may exist in the monitoring field, and the video information after preprocessing. It can be used not only in ordinary human eye observation and evidence collection, but also in high-end technology such as machine vision analysis. Finally, under the premise of normal operation of each module, the system is debugged and tested, and the experimental results are compared and analyzed by using different image processing algorithms in different situations. The software algorithm provided by this system is powerful and suitable for high quality video image information forensics under common monitoring environment. It can fully meet the general conditions of indoor or outdoor security monitoring applications.
【学位授予单位】：西安工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP368.1;TP277;TP391.41
本文编号：2247579
[Abstract]:With the rapid development of semiconductor industry, further integration, miniaturization, low cost and its speed, reliability and stability have brought great progress for embedded system design. With the rapid development of multimedia technology and network technology, embedded system is gradually emerging in the mainstream of traditional PC video surveillance market. In the field of security technology, the development of video surveillance system has experienced the analog video signal monitoring system, the digital monitoring system with (PC) loading video acquisition card. As well as the rapid development of embedded network video surveillance system and several other processes, at present, the video information acquisition on the scene is towards the video acquisition front-end integration, video signal transmission digitization, Monitoring data network sharing, the development of highly integrated system scale. Therefore, the embedded system equipment is designed as the front end of video signal acquisition. In the front end, the analog image signal obtained by the image sensor is converted into digital signal, and the video data is compressed by the appropriate compression algorithm. Then the local storage or transmission to the remote user through the network directly by the user to the remote control or the post-processing of video information become the inevitable trend of the current video monitoring system development. This paper presents a design scheme of embedded video surveillance system based on ARM Linux. First of all, in the hardware design of the system, taking the ARM9 microprocessor of Samsung as the core, the basic composition, the working principle and the selection basis of the main modules of the embedded video surveillance system terminal are discussed in detail. The main hardware of the system, such as Flash,SDRAM memory UART interface SD card, liquid crystal display, network card, Flash,SDRAM camera interface and JTAG interface, is built up on the existing hardware resources, and the main hardware of the system is analyzed, such as the Flash,SDRAM memory and the UART interface SD card, the LCD, the network card CCD camera interface and the JTAG interface, etc. Secondly, in software design, Linux is used as embedded operating system to transplant Linux system on embedded device, write peripheral device driver, collect video information. The storage and compression, as well as the design of network transmission protocol, are deeply analyzed, and some contents of digital image processing are mainly studied in the front end of embedded monitoring system. That is, the image preprocessing function such as filtering and de-noising of the original video information can be carried out in the front end of the acquisition, which makes the system have a strong anti-interference ability to the complex environmental factors that may exist in the monitoring field, and the video information after preprocessing. It can be used not only in ordinary human eye observation and evidence collection, but also in high-end technology such as machine vision analysis. Finally, under the premise of normal operation of each module, the system is debugged and tested, and the experimental results are compared and analyzed by using different image processing algorithms in different situations. The software algorithm provided by this system is powerful and suitable for high quality video image information forensics under common monitoring environment. It can fully meet the general conditions of indoor or outdoor security monitoring applications.
【学位授予单位】：西安工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP368.1;TP277;TP391.41
【参考文献】
相关期刊论文 前5条
1 余胜生,邓家义,周敬利;视频实时传输中的速率控制研究[J];计算机工程与应用;2002年11期
2 杨万挺;汪荣贵;方帅;张璇;;滤波器可变的Retinex雾天图像增强算法[J];计算机辅助设计与图形学学报;2010年06期
3 计文平,郭宝龙;数字视频压缩编码的国际标准[J];计算机应用研究;2003年04期
4 曹睿学;张保平;温伟娟;;基于ARM9的H.264视频实时解码器研究与实现[J];计算机测量与控制;2010年05期
5 徐力,孔岩;视频监控系统的现状和发展趋势[J];信息技术与信息化;2005年04期
相关硕士学位论文 前10条
1 董新宇;基于嵌入式Linux的网络视频监控系统设计与实现[D];大连理工大学;2005年
2 娄水勇;基于H.264标准的运动估计算法的研究[D];浙江大学;2006年
3 吕潇超;数字视频监控系统研究与实现[D];西北工业大学;2007年
4 周洋;基于嵌入式系统的网络视频监控系统设计与实现[D];南京航空航天大学;2007年
5 王大雷;雾天图像增强技术的分析与研究[D];南京理工大学;2007年
6 郎平;基于S3C2440的媒体播放器的研究[D];湖南大学;2008年
7 方卫民;基于ARM的嵌入式网络视频监控系统设计与实现[D];北京邮电大学;2008年
8 刘灿;H.264解码算法优化及在ARM上的移植[D];武汉理工大学;2009年
9 刘涛;昼夜合一远距离监控系统总体设计[D];南京理工大学;2008年
10 张墨;基于ARM9的监控系统无线终端的研究和设计[D];北京邮电大学;2009年
，本文编号：2247579
本文链接：https://www.wllwen.com/kejilunwen/jisuanjikexuelunwen/2247579.html
