基于ARM的远程视频监控系统设计与实现

针对目前视频监控网络化的实际需要,设计了一款通用远程网络视频监控系统。系统硬件以ARM LPC3250为核心,设计了以数据存储电路和以太网接口电路等为主要模块的电路;系统软件以Linux为操作系统,由摄像机驱动模块、图像采集传输及嵌入式Web发布服务器模块等组成。测试结果表明,该视频监控系统硬件结构小、功耗低、占用资源少、成本低,实现了远程视频图像的实时网络化传输,具有一定的实用价值。     

基于ARM的实验室智能无线监控系统设计

针对现有监控系统与报警系统分立不集成的问题,提出了一种基于ARM的实验室多功能视频监控与报警系统。该系统选用Linux操作系统,S3C2440微处理器,使用CC2530单芯片Zig Bee无线模块进行组网。可以实时监控温湿度、监测是否有人员、设置蜂鸣器报警并且实现远程网络摄像头监控。通过Zig Bee终端采集信息并且无线传输、S3C2440控制平台接收处理数据并实现网络图像传输进而实时远程监控,从而实现了智能监控与报警系统的结合。整个系统适合应用于实验室的环境安全监测,以及安防监控,将为实验室的安全提供有力保障。     

基于CMOS图像传感器的嵌入式机器视觉系统设计

针对现在视频监控系统的低成本、低功耗等要求,以ARM7-TDMI和CMOS图像传感器为核心并配上外围电路实现图像采集功能,再通过USB2.0接口实现高速图像数据传输,最后通过SD卡接口存储图像数据或者上位机图像显示软件实现图像数据的实时显示.实验表明,该嵌入式机器视觉系统能够实现实时图像采集功能,而且成本较低,功耗较小,满足安全监控系统的需求.     

面向Android终端的移动视频监控系统的设计实现

对整个监控系统的关键技术包括H.264视频编解码、实时传输等进行研究,根据视频监控系统的体系结构,设计了一种面向Android智能终端的移动视频监控系统,其基于Android平台的视频监控客户端使用移动流媒体实现,能够达到实时监控的效果。     

基于WAP2.0的手机可视门铃系统的设计与实现

早期的门铃只是单纯的提醒主人有客来访。本项目基于WAP2.0技术和智能手机实现可视门铃的无线实时监控,以达到随时随地接收访客门铃和查看访客实时视频图像的目的。实验结果表明,系统能流畅的实现视频的实时采集和传输。     

关于网络数字化视频监控系统的实际应用

传统的模拟视频监控系统存在造价高、布线工程量大、易衰耗、扩展能力差等缺点,视频监控系统正迅速从基于有线电视技术的模拟视频监控系统向基于IP技术的数字视频监控系统方向发展。本文从实际应用的角度出发,比较分析了采用3级分布式架构的网络数字化视频监控系统的优点,揭示了该系统利用多种通信链路传输流媒体数据的传输方式,同时阐述了"动中通"监控对象和多用户实时监控的实现过程。     

基于ARM11的H.264实时监控系统

基于视频监控应用领域应用广泛,对视频监控的实时性已成为检验安防系统的重要标准,为此设计以TE6410开发板为硬件平台为核心基于Linux系统实现H. 264软件编码的实时监控系统。平台采用cmos摄像头基于V4L2接口采集视频,采用X264软件编码压缩,实现了视频的高度压缩比;基于RTP协议打包封装H. 264视频流经网络传输到VLC播放器,显示监控画面。经实验测试结果证明,系统监控图像清晰,播放流畅达到了实时监控的效果。     

H.264在网络视频监控系统中的应用研究

由于具有压缩率高、图像失真率低、网络适应性强的特点,H.264已经成为网络视频监控系统应用研究中的热门。针对视频压缩效率和实时传输之间的矛盾,以及视频图像质量要求的提高,根据H.264和网络监控系统的技术原理,分析了H.264在网络视频监控系统中的应用优势和可行性,旨在提出一套基于H.264的网络监控系统解决方案。     

基于云业务构架的城市视频监控网络设计

本文基于当前大数据、物联网、云计算、计算机视觉等技术,依托视频图像传输网络等基础网络设施,有效整合各类视频图像资源,提出城市视频监控系统设计方案,重点对三个部分进行介绍,分别为视频资源存储、视频资源联网运维和系统网络构建。该设计在实现城市公共安全视频资源的统一汇聚、统一管理、统一调配的基础上,为各部门、各行业提供与实际业务紧密结合的视频深度应用方案.     

基于动态适应视频编码技术的机械设备远程监控系统

根据机械设备远程监控系统中视频数据的实时网络传输问题,提出用动态适应视频编码技术协调传输数据量和传输速度之间的矛盾.文中介绍了视频数据动态适应压缩编码的原理与实现方法,并通过具体应用实例,验证了该方法的可行性.     

Channel adaptive rate control for energy optimization

Low energy consumption is one of the main challenges for wireless video transmission on battery limited devices. The energy invested at the lower layers of the protocol stack involved in data communication, such as link and physical layer, represent an important part of the total energy consumption. This communication energy highly depends on the channel conditions and on the transmission data rate. Traditionally, video coding is unaware of varying channel conditions. In this paper, we propose a cross-layer approach in which the rate control mechanism of the video codec becomes channel-aware and steers the instantaneous output rate according to the channel conditions to reduce the communication energy. Our results show that energy savings of up to 30% can be obtained with a reduction of barely 0.1 dB on the average video quality. The impact of feedback delays is shown to be small. In addition, this adaptive mechanism has low complexity, which makes it suitable for real-time applications.     

Channel adaptive rate control for energy optimization

Low energy consumption is one of the main challenges for wireless video transmission on battery limited devices. The energy invested at the lower layers of the protocol stack involved in data communication, such as link and physical layer, represent an important part of the total energy consumption. This communication energy highly depends on the channel conditions and on the transmission data rate. Traditionally, video coding is unaware of varying channel conditions. In this paper, we propose a cross-layer approach in which the rate control mechanism of the video codec becomes channel-aware and steers the instantaneous output rate according to the channel conditions to reduce the communication energy. Our results show that energy savings of up to 30% can be obtained with a reduction of barely 0.1 dB on the average video quality. The impact of feedback delays is shown to be small. In addition, this adaptive mechanism has low complexity, which makes it suitable for real-time applications.     

基于IP组播技术的视频监控系统

采用单播或广播传输方式的视频监控系统存在网络瓶颈问题。将IP组播技术应用到网络视频监控系统中,可以有效地节省网络资源,具有时延和网络阻塞几率小的优点。结合多媒体网络中视频传输系统的结构,给出了IP组播技术在视频监控系统中的设计思想与Winsock实现方法。建立监听套接字较好地保证了视频信息传输的实时性和QoS。试验中视频传输效果良好。     

Video quality based link adaptation for low latency video transmission over WLANs

INTRODUCTION Low latency video transmission is very de manding in terms of the performance of all layers i the protocol stack. Over the last decade, research ha focused on enhancements of each individual laye without considering cross-layer interactions. Adapt ing video coding to the channel/network condition and technologies (and vice versa) (Girod et al., 2002 via the cross-layer exchange of information has onl recently been investigated. van der Schaar et al.(200 developed a cross-laye…     

多路实时数字视频光纤传输系统设计

介绍了一种利用大规模专用集成电路以及大规模可编程逻辑器件的多路数字视频光纤传输系统方案.系统基于时分复用和光波分复用技术,在一根光纤中同时传输四路视频和反向数据控制信号.经实验表明,系统可实现多路视频的实时传输,可运用于远程视频监控等多个领域,是一种实用方案.     

代理服务器数据分层传输的安全性研究

随着音频、视频和图像等数据流传输在代理服务器上的应用越来越广泛,有关如何保障数据传输的安全性和服务质量方面的研究也越来越深入。讨论了代理服务器数据分层传输的控制模型,在提出关于模型的链路振荡和公平性问题的基础上,着重就接收端数据分层安全性的检测进行研究,并提出了改进方法。结果表明,此控制模型对网络数据的稳定具有较好的性能。     

基于ARM嵌入式视频采集处理系统设计

本文以32位ARM微处理器为核心,以μC/OS-Ⅱ为嵌入式实时操作系统构建了一个基于ARM嵌入式的移动视频采集处理系统,主要包括系统控制、视频采集、MPEG-4压缩和无线传输等四个部分。本系统设计方便,灵活性强,可在视频监控、视频处理等众多领域得到广泛应用。     

Using video surveillance footage to support validity of self-reported classroom data

The use of video surveillance footage presents a new possibility in educational research as a reliable and valid source of learning and teaching activities in classrooms. However, the unique nature of surveillance footage requires different approaches and poses distinctive challenges in utilizing it in research, yet no methodological guides are currently available in educational research. The purpose of this reflective methodological review is to share our lessons learned from a mixed-methods study that utilized video surveillance footage for triangulating self-reported classroom data. We discuss (1) the importance of triangulation of self-reported data to reduce biases of it, (2) the unique benefits and limitations of using video surveillance data, (3) a methodological framework for video surveillance data analysis, and (4) our process of data analysis with technical, ethical, and other issues in mind when using such data. Software programs to aid video data analysis are briefly introduced as well.