Real-time moving object detection for video monitoring systems

Moving object detection is one of the challenging problems in video monitoring systems, especially when the illumination changes and shadow exists. Amethod for real-time moving object detection is described. Anew background model is proposed to handle the illumination varition problem. With optical flow technology and background subtraction, a moving object is extracted quickly and accurately. An effective shadow elimination algorithm based on color features is used to refine the moving obj ects. Experimental results demonstrate that the proposed method can update the background exactly and quickly along with the varition of illumination, and the shadow can be eliminated effectively. The proposed algorithm is a real-time one which the foundation for further object recognition and understanding of video mum＇toting systems.

Scalable Compression Algorithm for Video Monitoring System

A layered compression algorithm is presented which delivers spatial scalable encoded bit streams for remote video monitoring system. The complexity of the algorithm is modest and is well suited to real time implementation. Based on the layered compression algorithm, a codec system model is established. High-speed video compression can be realized with parallel data compression in this codec system. For image reconstruction, a prediction method using two nearest pix points is presented.

Research on Remote Video Monitoring System Used for Numerical Control Machine Tools Based on Embedded Technology

This paper designed an embedded video monitoring system using DSP (Digital Signal Processing ) and ARM (Ad- vanced RISC Machine).This system is an important part of self-service operation of numerical control machine tools,At first the analog input signals from the CCD(Charge Coupled Device) camera are transformed into digital signals,and then output to the DSP system,where the video sequence is encoded according to the new generation image compressing standard called H.264.The code will be transmitted to the ARM system through xBus,and then be packed in the ARM system and transmitted to the client port through the gateway.Web technology,embedded technology and image compressing as well as coding technology are integrated in the system,which can be widely used in self-service operation of numerical control machine tools and intelligent robot control areas.

Intensity Retrieved from Public Monitoring Video——Cases from the May 12,2008,Wenchuan Earthquake

Macroseismic investigation is presented with a new potential means of investigation in the "digital age". In this paper we studied several cases in the May 12, 2008, Wenchuan M_S8.0 earthquake with a view to exploring the feasibility of retrieving intensity, or even strong ground motion parameters, from public monitoring video which was originally deployed for security purposes. We used public monitoring video records from 44 sites across the meizoseismal region and its surroundings to estimate the intensity. By using the video from a bank in Dujiangyan, Sichuan Province and making the simple assumption that ground vibration is in the form of a propagating harmonic wave, we estimated that the local ground motion acceleration was 0.14g.

Study on an Audio and Video Network Monitoring System for Weather Modification Operation

An audio and video network monitoring system for weather modification operation transmitting information by 3G, ADSL and Internet has been developed and applied in weather modification operation of Tai＇an City. The all-in-one machine of 3G audio and video network highly integrates all front-end devices used for audio and video collection, communication, power supply and information storage, and has advantages of wireless video transmission, clear two-way voice intercom with the command center, waterproof and dustproof function, simple operation, good portability, and long working hours. Compression code of the system is transmitted by dynamic bandwidth, and compression rate varies from 32 kbps to 4 Mbps under different network conditions. This system has forwarding mode, that is, monitoring information from each front-end monitoring point is trans- mitted to the server of the command center by 3G/ADSL, and the server codes＇and decodes again, then beck-end users call images from the serv- er, which can address 3G network stoppage caused by many users calling front-end video at the same time. In addition, the system has been ap- plied in surface weather modification operation of Tai＇an City, and has made a great contribution to transmitting operation orders in real time, monitoring, standardizing and recording operating process, and improving operating safety.

Using video imagery to reconstruct the 3D intertidal terrain along a beach with multiple cusps

A high-frequency,high-resolution shore-based video monitoring system(VMS)was installed on a macrotidal(tidal amplitude>4 m)beach with multiple cusps along the Quanzhou coast,China.Herein,we propose a video imagery-based method that is coupled with waterline and water level observations to reconstruct the terrain of the intertidal zone over one tidal cycle.Furthermore,the beach cusp system(BCS)was precisely processed and embedded into the digital elevation model(DEM)to more effectively express the microrelief and detailed characteristics of the intertidal zone.During a field experiment conducted in January 2022,the reconstructed DEM was deemed satisfactory.The DEM was verified by RTK-GPS and had an average vertical root mean square error along corresponding RTK-GPS-derived intertidal profiles and corresponding BCS points of 0.134 m and 0.065 m,respectively.The results suggest that VMSs are an effective tool for investigating coastal geomorphic processes.

Assessing nest attentiveness of Common Terns via video cameras and temperature loggers

Background:While nest attentiveness plays a critical role in the reproductive success of avian species,nest attentiveness data with high temporal resolution is not available for many species.However,improvements in both video monitoring and temperature logging devices present an opportunity to increase our understanding of this aspect of avian behavior.Methods:To investigate nest attentiveness behaviors and evaluate these technologies,we monitored 13 nests across two Common Tern(Sterna hirundo)breeding colonies with a paired video camera-temperature logger approach,while monitoring 63 additional nests with temperature loggers alone.Observations occurred from May to August of 2017 on Poplar(Chesapeake Bay,Maryland,USA)and Skimmer Islands(Isle of Wight Bay,Maryland,USA).We examined data respective to four times of day:Morning(civil dawn‒11:59),Peak(12:00‒16:00),Cooling(16:01‒civil dusk),and Night(civil dusk‒civil dawn).Results:While successful nests had mostly short duration off-bouts and maintained consistent nest attentiveness throughout the day,failed nests had dramatic reductions in nest attentiveness during the Cooling and Night periods(p<0.05)with one colony experiencing repeated nocturnal abandonment due to predation pressure from a Great Horned Owl(Bubo virginianus).Incubation appeared to ameliorate ambient temperatures during Night,as nests were significantly warmer during Night when birds were on versus off the nest(p<0.05).Meanwhile,off-bouts during the Peak period occurred during higher ambient temperatures,perhaps due to adults leaving the nest during the hottest periods to perform belly soaking.Unfortunately,temperature logger data alone had limited ability to predict nest attentiveness status during shorter bouts,with results highly dependent on time of day and bout duration.While our methods did not affect hatching success(p>0.05),video-monitored nests did have significantly lower clutch sizes(p<0.05).Conclusions:The paired use of iButtons and video cameras enabled a detailed description of the incubation behavior of COTE.However,while promising for future research,the logistical and potential biological complications involved in the use of these methods suggest that careful planning is needed before these devices are utilized to ensure data is collected in a safe and successful manner.

A DUAL-CAMERA VIDEO-TRACKING SYSTEM USING PROJECTION ALGORITHM

This paper presents a video-tracking system composed of two cameras. One camera acts for producing an in-focus image of the object and the other one ensures an extended vision field under monitoring. Such a system scheme can achieve an excellent tracking performance,especially under various unfavorable conditions. A projection algorithm is used for the calculation of the displacement of the moving object. As a result, the computational cost is reduced greatly.In order that the tracking action of the system persists even if the object is sheltered or ns acceleration is larger than a specified threshold, a dedicated tracking algorithm on the basis of the α-β filtering is designed. Experiments show that the algorithm is efficient and the system works very well.

婴幼儿头皮医用粘胶相关性皮肤损伤防护方案的构建与应用

目的降低视频脑电图监测婴幼儿头皮医用粘胶相关性皮肤损伤。方法采用历史对照设计,将2018年1月至2019年12月入住癫痫监测单元行头皮视频脑电图监测的患儿856例纳入对照组,实施常规皮肤护理;将2021年1月至2022年12月入住癫痫监测单元行头皮视频脑电图监测的患儿851例纳入观察组,构建和实施医用粘胶相关性皮肤损伤防护方案。比较两组头皮医用粘胶相关性皮肤损伤发生率。结果观察组头皮医用粘胶相关性皮肤损伤发生率显著低于对照组(P<0.05)。结论婴幼儿头皮医用粘胶相关性皮肤损伤防护方案的应用,可有效降低婴幼儿头皮医用粘胶相关性皮肤损伤发生率。

基于3G的高层楼宇家庭远程监控报警系统

随着科技的日新月异,家居的高楼大厦也在朝着智能化的方向发展。基于3G的高层楼宇家庭远程监控报警系统旨在将家庭智能建筑内部的各类物联感知前端的数据进行统一汇聚传输至远程监控报警系统,把数据提供给实战指挥平台进行集成,指挥人员可在实战指挥平台上直观地查看建筑内部消防传感器状态,为指挥决策提供数据支撑。同时,利用3G等多种现代信息技术手段,对可燃气体探测器、烟雾探测等设施正确采集多传感器数据并实施监控,可实现家庭智能防火预警系统监控和报警火灾的目标,从而达到预期目的。

直饮水在线杀菌智能装置设计与多帧监控技术研究

为应对传统水质监测和杀菌方法存在无法实时监测、效果较差等问题,研究对智慧直饮水在线杀菌装置进行了多项先进技术和功能设计,包括紫外线杀菌、智能感应等,并主要利用改进的卷积神经网络实现动态视频多帧连续安全监控。结果表明,在3次动态图像识别中,所提出的监控方法准确率均超过了90%,并且运行时间均在10 s以内,最低仅为8.8 s,具有较高的识别准确率和效率,能够对在线杀菌装置动态视频进行有效的安全监控,为提高饮用水的安全性和可靠性提供有力支持。

基于计算机视觉的电力作业人员行为分析研究现状与展望

电力作业人员的有效监管是保障电力安全生产的基础。该文对电力视频中作业人员的行为识别研究进行了归类总结,涵盖静态行为分析(穿戴分析、动作分析和组合分析)和动态行为分析(复杂动作、时序行为和行为预测等);详细综述了电力作业行为分析中的核心算法模块,包括目标检测、姿态估计和视频跟踪等;论述了电力作业行为识别在算法高效性、鲁棒性、灵活性等方面所面临的应用难点和挑战,并展望了电力作业行为智能监控领域的未来发展方向,特别强调了在软硬件结合、通用大模型、生成式人工智能方面进行技术创新和改进所蕴含的潜在机会。

尚庄水库雨水工情自动测报系统建设与应用

山东省有小型水库约5256座,约占水库总数的95.20%。目前山东省小型水库雨水工情监测设施缺失严重,不能及时上报水库雨水工情信息。文章以尚庄水库为例,通过在水库上设置水位计、渗压计,雨量计、视频等观测设施,自动测量、测报雨量、水位、渗流数据,实现小型水库实测雨量、水位、渗压情况到监测系统的实时传输,构建了具有预报、预警、预演、预案功能的智慧水利测报系统,通过该系统及时预报预警,保障了当地人民群众生命财产安全。

基于矿灯光信号的井下作业人员身份视频识别系统

针对矿井视频监视系统中的人员身份难识别的问题,开发了一种基于矿灯光信号的井下作业人员身份视频识别系统。通过在矿灯中嵌入近红外LED光信号,设计了便于识别与追踪的光信号矿灯;设计了基于曼彻斯特编码的光信号编码方法,提出包括霍夫圆/椭圆检测方法在内的矿灯目标检测系列方法,以及动态优化解码方法。视频识别系统通过矿灯发射唯一性ID光信号,视频监视系统采集并处理光信号,解析出矿灯ID。通过煤矿井下实验验证了视频识别系统的有效性。研究成果为矿井安全生产提供了一种创新的人员身份识别技术。

基于FFmpeg多线程编码的智能交通监控系统设计

针对智能交通管理设备本身缺乏安全监管,传统视频监控延迟高、画质低、稳定性差的问题,提出一种基于FFmpeg的多线程编码视频流传输方案。通过FFmpeg调用h264_nvenc编码器,实现宏块行级的GPU多线程加速,降低编码延迟。使用Visual Studio 2019和QT15.5开发基于FFmpeg的音视频处理软件,对多路视频流进行封装、推流,并搭建Nginx流媒体服务器进行分发。通过实验表明,该系统整体的传输延迟低于1 s,且拥有良好的率失真特性,监控画面清晰、稳定性高,实现了对交通管理设备实时稳定的安全监控。

航空辐射数据热力图与视频融合方法

随着核能技术的广泛应用,核安全与应急监测的重要性日益凸显,核应急航空监测成为国家核应急体系的重要组成部分。在核应急航空监测过程中,获取并分析航空辐射数据与视频数据对于快速监测辐射状况、圈定辐射污染区域具有重要意义。其中,航空监测视频数据可以全面直观地获取目标区域地面影像,并大范围展现目标区域地面场景实态,结合放射性异常时刻的视频帧可快速精确地分析异常的成因,具有高时效性的特点。尽管视频融合技术在城市安全、交通管控等领域得到广泛应用,但在核应急航空监测领域中,视频融合技术研究应用较少,存在航空辐射数据与视频之间关联性较差的问题。传统方法中,应急人员需要手动搜寻视频关键帧,分析地表地貌特征,效率较低。设计并实现将航空辐射数据以热力图的形式与视频进行融合的程序,总体上遵循“视频-图像-视频”变换过程。通过有效提取视频关键帧图像及关注数据信息,建立数值与色度映射关系,分析飞行方向,绘制热力图,并将热力图与视频帧融合显示,实现航空辐射数据热力图与视频的融合。这种融合方法的应用可以帮助技术人员更快速地识别和分析辐射热点及污染区域,为制定应急措施提供有力支持。因此,该研究对于提高航空辐射数据与视频数据的关联度,实现快速分析核事故影响具有重要意义。此外,所采用的方法也可应用到铀矿勘查、辐射环境航空调查等工作中。

一种用于输电线路视频监测的取能电源的设计

供电电源是保证高压输电线路在线监测装置稳定运行的关键,文中提出了一种基于高压电场感应取能技术的取能电源,并分别对其功率电路和控制电路进行分析设计。感应极板产生的位移电流作为取能电源的输入,直接决定着取能电源的输入功率,文中利用Comsol软件研究了感应极板尺寸对位移电流的影响,确定了感应极板的尺寸,并和实测数据进行对比,验证了仿真的正确性。基于此,文中研制了一套视频监测装置,通过感应极板和取能电源实现装置的自取能,拍摄输电线及周围环境视频并发送到远程终端。最后,通过实验确定了当视频监测装置应用在110 kV电压等级下时,远程终端接收到的单次视频时长为2.2 min,视频间隔为54.9 min。

基于机器视觉的变电站一体化安防管控系统设计

为解决变电站安防设备简单、智能化程度低的问题,设计出基于机器视觉的一体化安防管控系统;安装现场视觉控制器作为系统硬件前端信息采集中心,利用以太网实现各设备通信连接一体化,门电路和变电站周界环境终端电子相连接,检测激光电子围栏危险入侵检测,序列巡检围栏编号,确定危险入侵围栏位置;通过线性二次型调节器算法对机器人期望位姿和实际位姿之间的耦合关系实行解耦处理,将处理结果作为神经网络的输入;输出机器人移动轨迹跟踪控制结果,完成视觉识别定位,实现动态物体监测、火苗、温度等多种危险因素的自动识别和预警;经过实验分析证明:系统通过机器视觉准确监测到了高温设备的位置和温度,并且响应性能良好,安防信号传输环境稳定,危险情况预判能力及预警能力较强,鲁棒性好。

基于灰度值补偿的视频监测图像模糊细节增强方法

针对在光照复杂变化环境中图像容易出现失真现象,导致视频监测细节模糊,直接影响到图像数据的准确性和有效性。为了提升模糊图像的质量,提出一种基于灰度值补偿的视频监测图像模糊细节增强方法。采用引导滤波法分别提取曝光和欠光图像的亮度分量值,求解亮度分量与图像分辨率间二维线性关系,按照图像线性关系失衡的最大、最小值,给出动态拉伸或压缩调整。在此基础上,划分图像区域,按照各个区域亮度分量大小与模糊集间的隶属度关系,建立模糊集域,计算属于模糊集域内像素点的灰度值,通过调节灰度值大小完成模糊细节增强。实验结果证明,所提方法能够降低光照复杂变化条件对图像的干扰,可高效、高质量地完成模糊细节增强,且图像增强后峰值信噪比高达36 dB,且结构相似度最接近1,说明研究方法的图像增强效果好,适用性更理想。

管道入侵报警和泄漏检测的智能化发展

第三方破坏、自然灾害破坏和管道的老化及腐蚀是天然气长输管道线路日常运行的安全隐患。为保障管道的安全运行,综合应用入侵报警、泄漏检测和其他安防技术,搭建综合智能安防监控平台,分析了几种常用的入侵报警和泄漏检测技术,明确了天然气长输管道行业以光纤传感技术作为入侵报警和泄漏检测系统的发展方向。以阿联酋天然气管网为例,分析了各种技术在特定环境中应用的情况,探讨我国输气管道项目实际应用的问题。入侵报警和泄漏检测在天然气管道上的应用越来越多,需要进一步开放平台接口,接入门禁系统、扩音对讲系统、巡更系统、动力环境监测系统,共同组成多系统融合的综合智能安防监控平台。依托5G网络、人工智能、云计算、大数据、物联网等智能技术的优势,推进管道运营体系改革,实现管道行业由传统运行模式逐步向数字化、智能化发展。