基于NiosⅡ的移动视频监控系统设计

为了提高视频监控的效率、满足移动视频的需要,提出了以NiosⅡ为核心、采用GPRS传输的无线移动视频监控系统.构建以NIOsⅡ为中心的处理器模块,设计MPEG-4视频编码器IP,融合多传感器,实现具有远程实时报警、视频监控、实时控制的移动视频监控系统.此系统可应用于汽车报警、家庭防盗、远程视频监控等诸多领域.     

一种移动多点远程无线视频监控系统的设计

提出了一种移动多点远程无线视频监控系统的设计方法.分析了该移动多点远程无线视频监控系统及其跟踪采集运动物体状况方面的特点;提出了系统的整体构架及系统终端的整体设计;对移动多点远程无线视频监控系统的关键技术的实现进行了阐述.最后给出了该系统的应用定位.     

基于Android智能终端的移动视频监控系统研究

针对传统网络视频监控中摄像头安置地点的固定性、PC监控终端互联网接入的局限性等缺点,文中提出了基于Android智能终端的移动视频监控系统。文章介绍了整个视频监控系统的体系结构,重点阐述了如何在两个Android终端之间实现移动视频监控,并且根据视频采集方式的不同介绍了两种主要的视频监控方案。在无线局域网的环境下对视频监控系统进行测试,测试结果表明两种视频监控方案都能达到在两个Android终端之间进行视频监控的目的,并且对两种方案测试结果差异性的原因进行了分析。     

基于3G无线网络实时传输MPEG4流媒体的设计与实现

首先介绍了视频监控系统所涉及的一些基础理论（MPEG-4;RTP/RTCP）,简述了嵌入式移动视频监控系统的实现方案;然后给出了系统的总体设计框架,着重对基于无线传输的嵌入式移动视频监控系统的传输部分设计进行了详细描述。     

一种基于无线传感器网络的目标跟踪调度算法*

基于无线传感器网络的IPv4/IPv6混合组网的视频监控系统的调度算法可以有效地增强视频监控的智能控制功能。在综合考虑无线传感器网络的自身特性和监控系统功能扩展清晰度要求的基础上,对原有的后来先服务调度(LCFS)算法进行改进,并设计和实现了一种简单有效的目标检测和跟踪方案,提出了清晰度最优负载平衡的调度算法(DOLB)。理论分析及实验结果表明,该算法性能明显优于原有的调度算法。     

基于CDMA的变电站移动视频监控系统的设计

提出了一种基于CDMA的变电站移动视频监控系统的设计方案,结合无线通信网络的现状,介绍了该移动视频监控系统的原理、结构及功能,最后分析了无线视频监控系统的优点及应用前景.     

基于WLAN网络的移动视频传输的研究与实现

提出一种基于WLAN无线局域网和DirectX框架的移动视频监控系统架构.此系统可进行多路组播并且通过IEEE802.11g网络传输视频流,移动端采用基于WinCE系统下的Pocket PC,视频服务器端的视频采集编辑采用Direct-Show技术实现.该系统克服了有线监控系统不可移动以及系统难以扩展的缺点,给监控实施带来极大方便.     

一种适用于无线多媒体传感器网络的JPEG图像编码算法

在资源受限的无线多媒体传感器网络中进行图像编码和传输,需要综合考虑能量消耗、压缩率和图像质量三者之间平衡的图像编码方案.研究无线多媒体传感器网络中视频监控图像序列的压缩,提出一种基于变化检测和改进JPEG算法的低复杂度图像编码方案.通过变化检测算法定位监控图像中的运动目标即感兴趣区域,仅传输兴趣区域以显著减少数据传输量...     

无线移动视频监控原型研究

提出一种基于DirectShow的无线移动视频监控方案,移动节点利用摄像头实时采集视频信息,通过WI-FI、GPRS网络传输到监控中心,从而使监控中心能实时监控各移动节点,并使各节点间进行视频通信。该方案不同于传统的视频监控方案,实验验证该方案合理有效,视频监控画面流畅,实时性好。     

移动视频车辆监控系统的设计与实现

为了传输目标定位和视频等宽带数据,提出了一种基于GPS/TD-SCDMA的车辆监控系统设计方法。分析了新一代无线车辆监控系统的新需求,在此基础上确定了系统总体组成框架、工作流程图、数据传输协议,并对车载移动监控终端的硬件进行了选型设计,给出了系统各组成部件的软件实现方式,为了避开国际专利陷阱,视频编解码方案选用具有我国独立知识产权的AVS标准。对搭建的原型试验系统进行测试,结果表明,该系统能提供高分辨率动态视频监控,并能进行精确车辆定位。     

基于动目标检测的视频监控智能节点设计

针对现有视频监控系统无效信息多造成存储资源严重浪费的现象,提出了基于动目标检测的视频监控智能节点设计方案;利用微波移动传感器检测运动目标多普勒信号,通过微控器采集调理后的多普勒信号完成运动目标识别,并控制传输设备将含有动目标的视频监控信息和多普勒频率数据传输到监控中心进行实时处理;实验结果表明,视频监控智能节点最大探测距离可达15m,该设计有效提高了视频监控的有效信息,减少了存储资源,具有广泛的应用前景。     

基于WMN的无线视频监控系统的设计

结合无线Mesh网络(WMN)的技术特性和网络视频监控的新要求,提出了一种基于WMN的视频监控系统设计方案。监控终端通过摄像机和基于嵌入式Linux平台的视频服务器完成视频采集和压缩,利用WMN进行实时传输,监控中心在Mesh网络的覆盖范围内通过因特网进行视频数据接收,实现无线视频监控。实验测试结果表明,该系统播放流畅、实时性好,在无线视频监控中具有广泛的应用前景。     

基于WiMAX的移动视频监控系统

提出一个基于无线城域网(WiMAX)的移动视频监控系统设计方案,给出系统监控前端的硬件设计、采用的芯片及无线接口的设计,采用双缓存机制和自适应码流策略保证WiMAX网络扇区切换和带宽变化时传输到最终用户的视频质量。测试结果及系统实际应用效果证明了该设计方案的有效性。     

Multipath routing and rate-controlled video encoding in wireless video surveillance networks

Video surveillance systems typically consist of many video sources distributed over a wide area, transmitting live video streams to a central location for processing and monitoring. The target of this paper—to bring down the overall system cost and increase feasibility, scalability, and performance—is to propose a new architecture for a wireless video surveillance network, whose telecommunication infrastructure is based on a wireless mesh network, and where video sources are able to estimate network bandwidth and consequently control their output rate. Multipath routing is applied in such a way that at least part of the information arrives at its destination even if a wireless link is shielded (maliciously or not). A case study is considered to discuss the performance of the proposed architecture, analyzing a comparison between single-path and multipath approaches.     

基于B/S结构的智能家居远程巡警监控系统的设计

针对现代办公、室内家居监控多目标的问题,结合ZigBee无线传输技术、智能车控制技术,构建了以B/S模式为基础的Web服务器,设计了一种新的远程巡警监控系统。采用KB-204数字视频监控录像采集卡,前端视频服务器配以花生壳的动态域名,实现系统的远程视频监视;以OURS-IOTV2物联网创新实验套件为开发平台,运用Html、JDBC技术构建Web服务器,实现客户端用户只需使用IE浏览器便能完成对家居移动小车的远程运动控制,同时在移动小车上装有BH9402热释电红外传感模块,当模块检测出异常信号时,会在客户端浏览网页界面上即时显示"室内有人"等信息。     

Distributed compressed video sensing based on key frame secondary reconstruction

Distributed compressed video sensing scheme combines advantages of compressive sensing and distributed video coding to get better performance, in the meantime, adapts to the limited-resource wireless multimedia sensor network. However, in the conventional distributed compressed video sensing schemes, self-similarity and high sampling rate of the key frame have not been sufficiently utilized, and the overall computational complexity increases with the development of these schemes. To solve the aforementioned problems, we propose a novel distributed compressed video sensing scheme. A new key frame secondary reconstruction scheme is proposed, which further improves the quality of key frame and decreases computational complexity. The key frame’s initial reconstruction value is deeply exploited to assist the key frame secondary reconstruction. Then, a hypotheses set acquisition algorithm based on motion estimation is proposed to improve the quality of hypotheses set by optimizing the searching window under low complexity. Experimental results demonstrate that the overall performance of the proposed scheme outperforms that of the state-of-the-art methods.     

Enabling low bit-rate and reliable video surveillance over practical wireless sensor network

With the rapid development of hardware and embedded systems, wireless sensor networks (WSNs) are being developed for surveillance applications. While meriting more in-depth research and development, deploying a practical WSN for surveillance is challenging due to the limited power and bandwidth of the battery-operated sensor nodes. In this paper, we first propose an energy-efficient image transportation strategy through motion detection. In case of data delivery over long distance, this paper further investigates the use of cooperative communications to design a reliable image transmission scheme over WSN, and demonstrates its effectiveness in improving network reliability in wireless multimedia sensor networks.     

Framework for integrated oil pipeline monitoring and incident mitigation systems

Wireless Sensor Nodes (motes) have witnessed rapid development in the last two decades. Though the design considerations for Wireless Sensor Networks (WSNs) have been widely discussed in the literature, limited investigation has been done for their application in pipeline surveillance. Given the increasing number of pipeline incidents across the globe, there is an urgent need for innovative and effective solutions for deterring the incessant pipeline incidents and attacks. WSN pose as a suitable candidate for such solutions, since they can be used to measure, detect and provide actionable information on pipeline physical characteristics such as temperature, pressure, video, oil and gas motion and environmental parameters. This paper presents specifications of motes for pipeline surveillance based on integrated systems architecture. The proposed architecture utilizes a Multi-Agent System (MAS) for the realization of an Integrated Oil Pipeline Monitoring and Incident Mitigation System (IOPMIMS) that can effectively monitor and provide actionable information for pipelines. The requirements and components of motes, different threats to pipelines and ways of detecting such threats presented in this paper will enable better deployment of pipeline surveillance systems for incident mitigation. It was identified that the shortcomings of the existing wireless sensor nodes as regards their application to pipeline surveillance are not effective for surveillance systems. The resulting specifications provide a framework for designing a cost-effective system, cognizant of the design considerations for wireless sensor motes used in pipeline surveillance.