基于移动通信网络的实时监控系统的研究

网络视频监控已经成为了当前实时监控系统的主要形式,本论文主要结合移动通信网络详细探讨了实时监控系统的设计研究,首先简要分析了采用移动通信网络实现视频传输的可行性,并给出了系统的结构设计方案,在此基础上重点从视频监控系统的组网方式和视频流的传输方式两个角度详细研究了基于移动通信网络的实时监控系统的技术实现,对于进一步提高移动通信网络的视频监控系统应用研究水平具有较好的指导借鉴意义。     

基于软交换的视频分发体系

采用软交换技术建立视频图像分组交换体系,解决视频传输分发容量与网络带宽之间的矛盾。设计了视频交换服务专用设备,按需构建级联视频传输分发体系,可消除各网络节点之间的视频传输冗余,达到大幅提高跨区域大型视频监控系统的视频传输分发的效率。     

变电站远程视频监控系统

视频监控是对重要项目的实施监控,通过应用视频监控系统,减少人员投入,保障设备安全。在变电站中,远程视频监控系统将视频监控实现远程传输,突破地域限制,实现远程监控。本文对变电站远程视频监控系统进行简单分析。     

监控视频流传输的应用研究

本文对国内某工程项目监控视频流传输的特点进行了研究,具体分析了同轴电缆视频基带、光纤、数字网络等传输方式的优缺点,最后提出了多种视频流传输方式相结合的混合解决方案。     

准东二矿网络化高清视频监控系统解析

随着音视频编解码算法技术、集成电路应用技术、网络控制与传输技术、软件技术、信息存储调用技术等监控技术的快速发展,网络视频监控高清化逐渐成为主流。在煤炭行业,工业电视系统作为矿井安全生产监控的基本配置,经历了模拟视频、数字标清、网络高清几个阶段,特别是矿井工业以太网络的建立,为网络化高清视频监控奠定了传输基础。新疆准东二矿是我国设计年产能力最大的井工矿,建立覆盖全矿的高清视频监控系统将为矿井安全生产实时监控、辅助综合自动化、减少井下作业人员发挥重要作用。本文从“全高清”的角度,分析从前端设备信号采集、传输、解码、存储到显示应用的全过程,重点分析了高清视频流对网络资源的占用以及控制方法。     

基于DirectShow的远程视频监控系统的设计与实现

随着第三代监控系统的成熟,利用视频流技术的实时远程视频监控系统也应运而生.直接使用解压缩算法支持实时播放通用性和移植性差.     

网络视频监控系统的设计与实现

介绍一种网络视频监控系统实现方案,系统以SAA7111为核心平台,通过嵌入式平台建立的Web服务器将COD摄像头采集来的视频信号,经过网络传输给客户端。介绍了该系统硬件和软件的设计与实现。该系统能对PAL制的格式视频信号实时编码,实现远程网络视频监控。     

基于Linux的嵌入式远程视频监控系统设计

随着嵌入式技术和图像处理技术的发展,视频监控系统得到了广泛的应用。本文提出了一种远程视频监控系统,该系统以Linux操作系统为软件平台,结合S3C2440硬件平台,采用H．264视频解码技术,在不影响图片质量的情况下有效的提高了视频数据压缩的比率,并且在网络传输的过程中所需要的带宽更少,也更加经济。     

实时视频传输的代理服务器技术

网络实时视频系统一般分为4大模块:采集系统、压缩编码系统、传输控制系统和输出系统。其中传输控制系统是实时视频流的一项关键核心技术。设计一个网络实时视频传输控制系统,分析代理服务器的运行原理,并针对CBR和VBR两种传输方法说明缓存的控制机制。     

无线网桥通信技术在远程监控系统中的应用

为了能对环境复杂恶劣的各种基建现场进行远程监控,我们采用了5.8GHz频段的高速无线以太网网桥,连接基建现场与监控中心,并对有线网络和无线网络进行了综合系统组网,通过MPEG4视频图像压缩技术以及点对点无线传输技术实现了远程视频监控,并通过采用有线对等加密算法实行了视频信号的128位加密,保证了视频信号在传输过程中的安全性和清晰、流程度。经测试,本远程监控系统具有组网简单灵活、安装方便、低成本、高稳定性等特点。     

Efficient Deep Learning Modalities for Object Detection from Infrared Images

For military warfare purposes, it is necessary to identify the type of a certain weapon through video stream tracking based on infrared (IR) video frames. Computer vision is a visual search trend that is used to identify objects in images or video frames. For military applications, drones take a main role in surveillance tasks, but they cannot be confident for long-time missions. So, there is a need for such a system, which provides a continuous surveillance task to support the drone mission. Such a system can be called a Hybrid Surveillance System (HSS). This system is based on a distributed network of wireless sensors for continuous surveillance. In addition, it includes one or more drones to make short-time missions, if the sensors detect a suspicious event. This paper presents a digital solution to identify certain types of concealed weapons in surveillance applications based on Convolutional Neural Networks (CNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Based on initial results, the importance of video frame enhancement is obvious to improve the visibility of objects in video streams. The accuracy of the proposed methods reach 99%, which reflects the effectiveness of the presented solution. In addition, the experimental results prove that the proposed methods provide superior performance compared to traditional ones.     

基于Linux的智能安防系统的设计

本文介绍一种基于S3c6410的无线网络视频安防系统的设计方案,该方案利用S3c6410进行核心控制,通过ov9650摄像头实现对外界图像的采集,通过HostUSB模块实现对视频数据的存储,通过WiFi实现无线网络视频数据的通信,通过GPRS实现短信的收发和彩信的发送。阐述该系统的工作原理、硬件构成及软件的设计方案。     

一种室内视频监控图像序列编码方法

在实际高分辨率室内视频监控中,运动物体构成了视频监控的主要内容.本文基于感兴趣区域的检测与恢复,提出了一种高分辨率室内视频监控图像序列的编码新方法,通过对象提取实现基本层和ROI层双层码流传输,其中基本层实现低分辨率图像内容传输,而ROI层用以进行高分辨率图像恢复.新方法有效地降低了视频编码计算复杂度、提高了编码效率.     

改进式背景差分算法研究

该文提出一种改进式背景差分算法,并应用于监控系统中。针对人流量较少的监控情况,提出一种基于计算机视觉的嵌入式监控系统解决方案,其以DSP DM642为核心处理芯片,可对3路视频视角同时处理。系统利用动态权值的改进式背景差分算法对视频流进行实时监控,若发现异常事件,则自动存储一段时间的视频数据,并利用H.264压缩后保存至外存中以供事后取证。由于监控算法巧妙,普通的SD卡即可替代传统的硬盘,系统精简,使用方便。试验表明:该系统灵敏度可调,非常适用于外景和内景的库房监控。     

Abnormal Behavior Detection and Recognition Method Based on Improved ResNet Model

The core technology in an intelligent video surveillance system is that detecting and recognizing abnormal behaviors timely and accurately. The key breakthrough point in recognizing abnormal behaviors is how to obtain the effective features of the picture, so as to solve the problem of recognizing them. In response to this difficulty, this paper introduces an adjustable jump link coefficients model based on the residual network. The effective coefficients for each layer of the network can be set after using this model to further improving the recognition accuracy of abnormal behavior. A convolution kernel of 1×1 size is added to reduce the number of parameters for the purpose of improving the speed of the model in this paper. In order to reduce the noise of the data edge, and at the same time, improve the accuracy of the data and speed up the training, a BN (Batch Normalization) layer is added before the activation function in this network. This paper trains this network model on the public ImageNet dataset, and then uses the transfer learning method to recognize these abnormal behaviors of human in the UTI behavior dataset processed by the YOLO_v3 target detection network. Under the same experimental conditions, compared with the original ResNet-50 model, the improved model in this paper has a 2.8% higher accuracy in recognition of abnormal behaviors on the public UTI dataset.     

High Speed Quantum Key Distribution Over Optical Fiber Network System

The National Institute of Standards and Technology (NIST) has developed a number of complete fiber-based high-speed quantum key distribution (QKD) systems that includes an 850 nm QKD system for a local area network (LAN), a 1310 nm QKD system for a metropolitan area network (MAN), and a 3-node quantum network controlled by a network manager. This paper discusses the key techniques used to implement these systems, which include polarization recovery, noise reduction, frequency up-conversion detection based on a periodically polled lithium nitrate (PPLN) waveguide, custom high-speed data handling boards and quantum network management. Using our quantum network, a QKD secured video surveillance application has been demonstrated. Our intention is to show the feasibility and sophistication of QKD systems based on current technology.     

基于VBLAST的水声MIMO高速通信技术研究

为实现高速水下通信,提出了一种基于VBLAST（贝尔实验室垂直分层空时）编码的水声MIMO（多输入多输出）通信技术。该技术通过在发射端和接收端同时采用多个阵元进行多发多收,借助空间复用,可有效解决水下通信系统带宽资源缺乏的难题,使系统在不增加带宽的条件下成倍提高数据传输速率。在水声MIMO通信系统的接收端,提出采用带有二阶数字锁相环、基于自适应空时判决反馈均衡的相干解调技术。该技术可有效克服水声MIMO信道中的多径干扰及同频干扰,且能自适应跟踪信道变化。仿真及湖试结果证明了所提水声MIMO高速通信技术的良好性能。     

关于金融行业中高清视频监控系统设计的几个关注点

在当今金融安防体系中,高清视频监控的技术在资金、数量、重要性上占有非常大的比重,它标志着安全防范系统上技术水平程度、防范深度和广度有多少＂含金量＂,论文就如何运用成熟的高清监控技术、智能化技术,以实际的工程经验为基础,对在金融行业中设计一套符合规范要求的高清视频监控系统所要关注的要点提出了个人意见,供业内人士参考。     

Rate-adaptive video streaming through packet dispersion feedback

The anticipated growth of IPTV makes selection of suitable congestion controllers for video-stream traffic of vital concern. Measurements of packet dispersion at the receiver provide a graded way of estimating congestion, which is particularly suited to video as it does not rely on packet loss. A closed-loop congestion controller, which dynamically adapts the bitstream output of a transcoder or video encoder to a rate less likely to lead to packet loss, is presented. The video congestion controller is based on fuzzy logic with packet dispersion and its rate of change forming the inputs. Compared with TCP emulators such as TCP-friendly rate control (TFRC) and rate adaptation protocol (RAP), which rely on packet loss for real-time congestion control, the fuzzy-logic trained system?s sending rate is significantly smoother when multiple video-bearing sources share a tight link. Using a packet dispersion method similarly results in a fairer allocation of bandwidth than TFRC and RAP. These gains for video traffic are primarily because of better estimation of network congestion through packet dispersion but also result from accurate interpretation by the fuzzy-logic controller.     

基于流媒体技术的网络化嵌入式视频监控系统

视频监控系统是日常生产生活中的重要辅助设备,提出并研究设计了基于流媒体技术的网络化嵌入式视频监控系统.以高性能嵌入式处理器、DSP处理器和嵌入式Linux操作系统为核心进行系统设计.系统通过DSP处理器进行视频信号的MPEG4数据压缩,在嵌入式处理器上采用流媒体技术通过网络传播实时视频流.详细论述了系统设计、硬件设计和软件设计,并给出了实际运行结果.