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.

Analyses of Trawling Track and Fishing Activity Based on the Data of Vessel Monitoring System(VMS): A Case Study of the Single Otter Trawl Vessels in the Zhoushan Fishing Ground

The original purpose of Vessel Monitoring System(VMS) is for enforcement and control of vessel sailing. With the application of VMS in fishing vessels, more and more population dynamic studies have used VMS data to improve the accuracy of fisheries stock assessment. In this paper, we simulated the trawl trajectory under different time intervals using the cubic Hermite spline(c Hs) interpolation method based on the VMS data of 8 single otter trawl vessels(totally 36000 data items) fishing in Zhoushan fishing ground from September 2012 to December 2012, and selected the appropriate time interval. We then determined vessels' activities(fishing or non-fishing) by comparing VMS speed data with the corresponding speeds from logbooks. The results showed that the error of simulated trajectory greatly increased with the increase of time intervals of VMS data when they were longer than 30 minutes. Comparing the speeds from VMS with those from the corresponding logbooks, we found that the vessels' speeds were between 2.5 kn and 5.0 kn in fishing. The c Hs interpolation method is a new choice for improving the accuracy of estimation of sailing trajectory, and the VMS can be used to determine the vessels' activities with the analysis of their trajectories and speeds. Therefore, when the fishery information is limited, VMS can be one of the important data sources for fisheries stock assessment, and more attention should be paid to its construction and application to fisheries stock assessment and management.

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.

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.

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.

Design of DSP-based Embedded Video Remote Monitoring System

Presented is a scheme of an embedded video remote monitoring system based on TMS320DM642. Using DM642 as the data processing core, the remote monitoring system is composed of video acquisition module, video processing module and communication module, which gives an implementation of class/mini driver module in DSP/BIOS integrated developing environment and also a common task module in application layer is achieved. The system realizes the entire functions of the analog video signal acquisition, H.264 video coding and Internet transmission. It provides the general connection for the future development and has good flexibility and extendibility. The system uses a modular design and overall development of programming methods to improve the efficiency of system development.

The Monitoring with Video and Alarm System Based on Linux Router

As one of important safeguarded measures in security field, the video monitoring system have been applied in extensive ways such as building’s security,information’s acquisition and medical treatment. In current time, the intelligent home systems as well as the Internet of Things are forming a more and more mature industrial chain. With abundant of new technology applications, this industrial chain is developing towards to a more intelligent way. One of the most important applications is the video monitoring system developed by new technology. Deploy an appropriate design of video monitoring system in the several fields such as public security, traffic schedule, systems control and so on, is a major technological medium which can guarantee not wasting an amount of manpower resource as well as keeping the system in a good running status. This article based on the preponderance of the Linux system, especially the character of open source of it. Combine the Linux system and some particular routers;designing a real-time and efficient video monitoring system. It’s functional and in the meantime it can discriminate abnormal information or the situation automatically and then raise the alarm. This system use matured B/S mode in software’s framework, which is also lightweight class. In addition, this system manages the expenses in hardware cost more commendably.

Embedded Remote Monitoring System of Agricultural Environment Based on DSP

Agricultural environmental remote monitoring,data collection and network transmission are the development directions of modern agriculture.The embedded video remote monitoring system is designed with DSP processor DM642,which can collect the video signal of agricultural environment and biological information,as well as complete the extraction of video signal and network transmission.This system can be applied to the agro-ecological and environmental resources monitoring,agricultural disaster monitoring and warning and other digital agricultures.

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.

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.

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.

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。

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。

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。

基于监控视频数据的城市轨道交通车站闸机设施处行人停滞行为谱特征研究

[目的]为科学设置闸机,改善其实际通行能力,以及减少行人异常停滞行为带来的拥挤风险,需对城市轨道交通车站闸机设施处行人停滞行为谱特征进行研究。[方法]利用视频轨迹追踪技术,采集城市轨道交通车站闸机设施处监控视频中的行人运动参数;确定行人停滞行为表征指标,从闸机类型、行人流及个体停滞行为三类要素构建了城市轨道交通车站闸机设施处行人停滞行为谱,并采用四分位差法确定行人停滞行为谱表征指标上下限阈值;对行人停滞行为起点至闸翼/闸杆中心的纵向距离和横向距离,以及行人停滞范围和停滞时间等4个表征指标的差异性进行了分析,并全面解析了不同闸机类型和不同行人流率下的行人停滞行为谱特征。[结果及结论]行人易在闸机设施正前方停滞,行人停滞行为起点至闸翼/闸杆中心的纵向距离远大于其横向距离;当行人流率为>5~10人次/min时,行人停滞范围波动性最大;随着行人流量的增加,行人可用空间、停滞范围及停滞时间均减小。

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。