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.

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.

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.

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.

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。

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。

基于改进的SECOND网络与MobileNet V2网络的视频监控与追踪技术实现

为提高作业现场视频监控水平,提出一种基于深度学习的视频监控与追踪方法。该方法通过采用Res2SENet网络作为SECOND网络的卷积模块,并使用可变形卷积替代SECOND网络的标准卷积,以实现SECOND网络的改进。首先,基于改进的SECOND网络对目标进行检测,实现作业现场视频监控目标检测;然后,通过采用空洞卷积替代MobileNet V2网络的普通卷积,并使用改进后的MobileNet V2网络作为目标追踪算法,实现作业现场视频监控目标检测与跟踪;最后,在典型的包含大量激光点云图像的KITTI数据集上进行测试。结果表明,该方法利用改进SECOND网络对作业现场视频监控三维目标检测的平均精度和检测时间分别为81.62%和0.048 s,相较于标准SECOND网络、特征金字塔网络(Feature Pyramid Network,FPN)、F-PointNet网络,改进SECOND网络具有明显优势;利用改进的Mo-bileNet V2网络对作业现场视频监控三维目标跟踪的准确度、精确度和跟踪数分别为81.62%、80.55%和57.30%,丢失数和跟踪轨迹中行人ID瞬间转换次数分别为11.08%和22%,具有较快的运行速度,为39 f/s,相较于MobileNet V2网络、马尔可夫决策过程(Markov Decision Process,MDP)网络、平滑支持向量机(Smooth Support Vector Machine,SSVM)网络,改进的MobileNet V2网络在各项指标上均具有一定优势,可以满足作业现场视频监控目标的检测与实时跟踪需求。

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。

低光照下基于FPGA+ARM的无线视频监控系统设计

视频监控系统视频处理实时性不高,有线视频监控系统迁移扩展性差、布线繁琐,低光照下视频图像获取质量和处理效果较差,针对以上问题,设计了一种低光照环境下基于FPGA+ARM的无线视频监控系统。首先在FPGA端初始化OV5640摄像头,使其输出RGB888格式的图像数据,图像数据经过格式转换缓存到DDR3中。然后提出基于边缘增强模块的改进RetinexNet图像增强算法,在HSV格式中利用高层次综合(High-level Synthesis,HLS)工具对亮度分量V进行硬件加速,在ARM端对亮度分量S进行线性拉伸,并完成低光照图像增强任务。在此基础上,通过5G WiFi模块发送图像数据,上位机显示器通过5G网络接收图像数据并实现HDMI接口输出。实验结果表明,系统针对昏暗图像改善图像细节,具有良好的显示效果,而且处理一帧图像耗时为136.08 ms,相比ARM和PC机,具有处理速度快、便携性高等优点。

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。

河北省河湖智能视频监控体系关键技术研究与实现

针对河北省河湖视频监控系统现状与问题,研究省级河湖智能视频监控体系的关键技术与具体实现。依托物联网、人工智能、云计算等先进技术,探讨河湖视频监控一张图、空间分析、多源数据融合、AI视频智能分析、视频取流等关键技术,采用基础设施层、数据服务层、平台服务层、应用层4层架构构建省级河湖智能视频监控体系,分析全省河湖视频资源传输专网、智能分析中心、视频监控一张图及河湖智能视频监控系统的具体实现成果。经过1年多的应用实践,证明该体系合理,能够有效推送疑似河湖违法事件,为视频监控在智慧水利中的应用提供思路框架和技术参考。

特高压变压器视频监控智能巡检系统研究与应用

分析了传统视频监控技术在应用中的局限性,提出一种基于高清网络摄像机的视频监控智能巡检系统,讨论了该系统的组成、网络结构、点位选取等内容;通过该系统在某特高压变压器巡检上的应用,将系统在可见光巡视、套管红外测温、现场表计读数等方面的巡检结果与人工巡检进行比对,验证了该系统的准确性和实效性,保障了变电运维人员巡检过程中的人身安全,提高了设备巡视质量。