基于QoS策略的视频监控系统的设计

网络化视频监控系统是集网络、通信以及视频编解码等多项技术的整合系统。文章先提出了网络化视频监控系统的系统结构，接着重点介绍了网络化视频监控系统中如何有效的应用QoS策略来优化多媒体流的传输和视频的质量。     

A wireless multimedia framework for the management of emergency situations in automotive applications: The AIDER system

Automotive applications would greatly benefit of multimedia telematic services for many purposes, from tourism and entertainment, to most important issues such as security and traffic management. Within this context, the AIDER system (AIDER is the acronym of Accident Information and Driver Emergency Rescue) is one of the most advanced multimedia mobile services targeted at emergency situations such as road accidents. The AIDER allows the interactive exchange of multimedia data (and in particular, audio, video and biomedical information) between the vehicle and a remote rescue centre, by using several different narrowband radio channels including cellular networks and satellite. In this paper an overview of the AIDER architecture is provided, focusing on the advanced video communication system.     

分布式数字视频监控系统的设计和实现

介绍了分布式数字视频监控系统的设计和实现，详细描述了各模块的功能与实现，着重研究了该系统的实时性、可靠性和实用性等特点，为智能化楼字提供一个通用的、实时的、可扩展的数字视频监控系统。     

VNA—最新的适用性极强的视频杂波分析仪

本文介绍了R/S公司生产的视频杂波分析仪。特点是:频响宽、功能强、精度高、同步稳、全自动。该仪器适用于标准与非标准制式,是HDTV及其它高质量电视领域中不可缺少的设备。     

Multi-video synopsis for video representation

The world is covered with millions of cameras with each recording a huge amount of video. It is a time-consuming task to watch these videos, as most of them are of little interest due to the lack of activity. Video representation is thus an important technology to tackle with this issue. However, conventional video representation methods mainly focus on a single video, aiming at reducing the spatiotemporal redundancy as much as possible. In contrast, this paper describes a novel approach to present the dynamics of multiple videos simultaneously, aiming at a less intrusive viewing experience. Given a main video and multiple supplementary videos, the proposed approach automatically constructs a synthesized multi-video synopsis by integrating the supplementary videos into the most suitable spatiotemporal portions within this main video. The problem of finding suitable integration between the main video and supplementary videos is formulated as the maximum a posterior (MAP) problem, in which the desired properties related to a less intrusive viewing experience, i.e., informativeness, consistency, visual naturalness, and stability, are maximized. This problem is solved by using an efficient Viterbi beam search algorithm. Furthermore, an informative blending algorithm that naturalizes the connecting boundary between different videos is proposed.The proposed method has a wide variety of applications such as visual information representation, surveillance video browsing, video summarization, and video advertising. The effectiveness of multi-video synopsis is demonstrated in extensive experiments over different types of videos with different synopsis cases.     

Feature-based detection and correction of occlusions and split of video objects

This paper proposes a novel algorithm for the real-time detection and correction of occlusion and split in object tracking for surveillance applications. The paper assumes a feature-based model for tracking and is based on the identification of sudden variations of spatio-temporal features of objects to detect occlusions and splits. The detection is followed by a validation stage that uses past tracking information to prevent false detection of occlusion or split. Special care is taken in case of heavy occlusion, when there is a large superposition of objects. For the detection of splits, in addition to the analysis of spatio-temporal changes in objects’ features, our algorithm analyzes the temporal behavior of split objects to discriminate between errors in segmentation and real separation of objects, such as in a deposit event. Both objective and subjective experimental results show the ability of the proposed algorithm to detect and correct, both, split and occlusion of objects. The proposed algorithm is suitable in video surveillance applications due to its good performance in multiple, heavy, and total occlusions, its ability to differentiate between real object separation and faulty object split, its handling of simultaneous occlusion and split events, and its low computational complexity. The algorithm was integrated into an on-line video surveillance system and tested under several conditions with promising results. This work was partially supported by the National Science and Engineering Research Council of Canada (NSERC).     

视频监控图像的超分辨率复原研究

超分辨率复原技术是一种可用于提高图像细节辨识能力的有效方法。其在视频监控领域可望得到广泛应用。超分辨率图像处理技术通过融合多帧相似的低分辨率图像达到提高图像细节的目的。从而降低对监控视频采集硬件与后端辅助处理系统的要求,提高对特定目标的辨析能力。本文重点介绍了在视频监控领域较为实用的凸集投影算法、最大后验概率估计算法、基于对象的超分辨率复原方法、基于示例学习与多类预测器的超分辨率复原方法。对以上超分辨率复原方法实现流程的优缺点与其在视频图像监控领域的应用方法进行了相应分析。分析了超分辨率视频监控图像复原常用的基于块匹配与光流的对象运动估计方法。对超分辨率复原重建图像质量的评估标准也进行了相应讨论。     

基于android移动视频监控系统客户端的研究与设计

移动视频监控技术是无线网络技术、流媒体技术以及视频监控技术等多种技术融合的产物.在多种技术融合的背景下,提出一种面向智能交通的移动视频监控系统的设计方案,侧重对Android平台视频监控客户端进行研究与设计,并对涉及到关键技术展开研究.最后,在Android 2.3平台上进行测试,结果表明,该客户端能够满足远程视频监控的需求.     

视频监控中基于LVS的负载均衡模型分析

在监控系统中，随着控制台的增加，访问中心服务器用户请求的增多，对中心服务器的性能要求也越来越高。本文从面向企业级应用的视频监控项目工作出发，讨论了在中心服务器负载均衡的几种基于LVS的解决方案．并做出了分析。     

异构网络的多终端教学方案设计与实现

基于三网融合实验室网络环境,应用H.264编码与P2P技术,设计了异构网络的视频监控与远程教学方案,实现了智能手机、计算机、平板、电视屏实时监控或者远程教学.重点介绍了网络摄像机在实验室网络上的组建方案与网络技术在此方案中的应用.方案中体现了现代网络技术在视频监控、远程教学和高校信息化建设中取得的显著效果.     

基于移动终端视频直播点播的构建与应用

智能手机日益普及,构建基于移动终端的视频服务系统,对学习、生产、生活有一定的应用价值。结合实际,从关键技术、软件选择、重要参数等方面,构建操作简单、易于实现的视频服务系统,并通过学校、企业的应用实例进行分析。     

基于ARM的视频监控系统

设计了一种基于三星ARM9的S3C2440芯片的视频监控系统.该系统通过摄像头采集图像并对图像进行运动检测和压缩编码.实验结果表明该系统保持了图像传输的流畅性,同时能够时运动的入侵目标进行闪烁标注,达到入侵、运动检测的目的.     

一种基于水印技术的CMMB安全监测方法

针对迅速发展的CMMB和越发重要的安全播出,提出一种安全监测方案.该方案基于数字水印技术,使用多层结构的小波变换,将水印信息嵌入到小波系数最底层的水平细节分量和垂直细节分量中去.实验结果表明,该算法简单易行,并对常规的干扰具有良好的透明性和稳健性.     

建筑智能化系统在现代看守所中的应用

利用数字监控设备建立了看守所智能化系统充分,通过对整个看守所进行联网,可有效地加强对服刑人员的管理,直观及时地反映重要地点的现场情况,同时对在押人员日常行为及特殊情况行为实现集中管理、统一指挥,提高安全保障的力度及效率。文中阐述了建筑智能化系统在现代看守所中的应用特点。     

视频监控网络中目标特征的虚拟同步

视频监控网络已经成为计算机视觉的研究热点之一。文章分析了视频监控网络中数据不同步的原因．提出了使用目标缓冲池链进行虚拟同步的方法。在此基础上讨论了对目标特征数据进行处理的三层结构．解决了视频监控网络系统中的数据不同步问题。实验结果表明得到的虚拟同步数据真实可靠，实现简单，具有较强的实用性。     

视频监控系统中的行人及其面部侦测研究

采用集成H．264硬件编解码视频处理单元Hi3512来设计视频监控系统。并探讨行人目标的自动侦测问题。在对视频图像进行形态学分析的基础上,利用背景差方法实现运动目标区域的粗提取,通过阴影去除算法实现运动目标的精确定位,再利用连续均值量化变换（SuccessiveMeanQuantizafionTransform,SMQT）算法实现运动区域灰度图像的增强处理,然后利用SNoW（SparseNetworkofWinnows）分类算法实现行人及其人脸部位的侦测。实验结果表明,所采用方法能够自动检测出监控区域的行人目标及其面部信息,可有效地应用于无人值守视频监控场合。     

基于多特征融合的运动阴影去除算法研究

在自动视频监控系统中,阴影是影响目标检测和跟踪的主要因素之一。为了去除阴影的干扰,提出一种区域梯度、颜色和轮廓多特征融合的方法。改进轮廓计算方法,巧妙利用轮廓分割区域,合理使用轮廓填充区域,这些改进使本方法更具鲁棒性和更广适用范围。实验结果表明,该方法在不同场景下可以有效地去除阴影。     

模拟视觉感知机制的视频监控场景分类方法

监控场景分类能增强智能视频监控的准确性与自适应性.本文提出一种模拟人类视觉感知机制的监控场景分类方法.首先,用二维双密度双树复小波变换模拟视皮层中简单细胞的空间尺度与朝向感知机制,将一幅监控场景图像分解为一系列不同尺度及朝向上的小波子带图像.然后,模拟视皮层中复杂细胞结构所呈现的统计特征感知机制,用基于小波共生矩阵的复合统计特征提取方法对上述小波子带图像进行统计特征提取,生成监控场景图像对应的特征向量.最后,将样本集中不同类别监控场景图像对应的特征向量输入支持向量机,训练出视频监控场景分类器.实验结果表明,相比于常规的自然场景分类方法,本文方法更适合于处理包含丰富空间几何结构特征的视频监控场景.