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基于Android平台智能视频监控系统的研究与实现

发布时间:2018-09-11 10:08
【摘要】:随着中国经济的快速发展和人民生活水平的不断提高,人们对自身的安全问题提出了更高的要求,传统的监控系统面临着不灵活、低效率、维护成本高等问题,已经无法满足人们的需求,市场急需一种灵活性强、性能稳定、维护成本低、能主动分析并预警的监控系统,智能化的视频监控系统的是视频监控系统未来发展的一个趋势,从市场的需求情况来看,智能化的视频监控系统逐渐引起越来越多的人们的关注,需求量持续上升。从技术角度来看,智能化的视频监控将向着适应更为复杂多变的场景、分析和识别更多异常行为的方向发展。智能视频监控技术是一种具有前瞻性的科研领域,不仅蕴含着巨大的科研价值也包含着巨大的商业价值。在移动智能终端方面,Google开发的Android平台极大的推动了移动智能终端的发展,由于它的开放性,为智能手机视频监控系统的普及带来了契机。因此,研究与开发一款基于Android平台的智能视频监控系统具有重大的现实意义与市场前景。本文的研究内容及成果主要有以下几个方面: (1)分析了基于Android平台的智能监控系统的研究现状,,总结了当前智能监控的需求,证实研究基于Android平台的智能监控系统的必要性。 (2)系统采用RTP/RTCP实现视频数据的传输和控制,采用RSTP实现流媒体服务器和客户端会话的建立与控制,使用Live555流媒体服务器实现实时视频流的转发。 (3)分析现有H.264的RTP封包算法,发现其不足并对其进行优化,提高封包的效率。 (4)在视频传输模块对现有的拥塞控制算法进行介绍,并对平稳自适应算法进行改进,采用改进后的RTP平稳自适应算法进行流量拥塞控制保证一定的QoS,在视频接收模块对缓冲区进行优化,来降低丢包率和延时。 (5)对FFmpeg多媒体解码库进行裁剪优化并移植到Android平台,通过JNI技术实现了视频数据的解码,提高了解码效率。 (6)调用短信平台给用户发送报警短信,提示用户及时查看实时报警视频,真正意义上实现了全天24小时监控。 通过以上工作,成功实现了基于Android平台的智能视频监控系统,经过测试,系统运行稳定,画面清晰流畅,延时小。该系统极大地降低安防人员的劳动强度以及视频存储的压力,真正意义上实现了全天24小时的实时监控。
[Abstract]:With the rapid development of China's economy and the continuous improvement of people's living standards, people have put forward higher requirements for their own safety problems. The traditional monitoring system is faced with problems such as inflexibility, low efficiency, high maintenance cost, etc. The market is in urgent need of a kind of surveillance system with strong flexibility, stable performance, low maintenance cost, active analysis and early warning. The intelligent video surveillance system is a trend of the future development of video surveillance system. According to the market demand, the intelligent video surveillance system has attracted more and more people's attention, and the demand continues to rise. From a technical point of view, intelligent video surveillance will develop towards the direction of adapting to more complex and changeable scenarios, analyzing and identifying more abnormal behaviors. Intelligent video surveillance technology is a prospective research field, which contains not only great scientific research value but also huge commercial value. In the aspect of mobile intelligent terminal, the Android platform developed by Google has greatly promoted the development of mobile intelligent terminal. Because of its openness, it has brought the opportunity for the popularization of video surveillance system of smart phone. Therefore, the research and development of an intelligent video surveillance system based on Android platform has great practical significance and market prospect. The research contents and results of this paper are as follows: (1) the research status of intelligent monitoring system based on Android platform is analyzed, and the demand of intelligent monitoring system is summarized. It is necessary to study the intelligent monitoring system based on Android platform. (2) the system uses RTP/RTCP to realize the transmission and control of video data, and RSTP to realize the establishment and control of streaming media server and client session. Live555 streaming media server is used to transmit real-time video stream. (3) the existing H.264 RTP packet algorithm is analyzed, and its shortcomings are found and optimized. Improve the efficiency of packet. (4) introduce the existing congestion control algorithm in the video transmission module, and improve the stationary adaptive algorithm. The improved RTP stationary adaptive algorithm is used to control traffic congestion to ensure that a certain QoS, optimizes the buffer in the video receiving module. In order to reduce packet loss rate and delay. (5) FFmpeg multimedia decoding library is optimized and transplanted to Android platform. Video data decoding is realized by JNI technology. (6) calling the short message platform to send alarm message to the user, prompt the user to view the real-time alarm video in time, and realize the monitoring 24 hours a day. Through the above work, the intelligent video surveillance system based on Android platform is successfully realized. After testing, the system runs stably, the picture is clear and smooth, and the delay is small. The system greatly reduces the labor intensity of security personnel and the pressure of video storage, and realizes the real time monitoring 24 hours a day.
【学位授予单位】:江苏科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP311.52;TN948.6

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