针对工业控制中智能视频的应用, 本文研究了基于SOPC的智能视频在工业控制中目标检测与跟踪系统, 本系统包含四个模块:图像采集模块、存储模块、目标检测跟踪模块和VGA显示模块, 可以完成视频中图像的采集与处理、目标的检测与跟踪和显示等功能, 实现了运动目标检测与跟踪的准确性和实时性。实验结果显示, 本研究在运动目标的跟踪时偏移度最小, 低于0.5 cm, 并且在运动目标加入遮挡物、姿态变换、干扰物等因素后, 本研究仍能跟踪到目标, 持续到目标移出视频范围。
Abstract
Aiming at the application of intelligent video in industrial control, this paper studies the SOPC-based intelligent video target detection and tracking system in industrial control.This system contains four modules:image acquisition module, storage module, target detection and tracking module and VGA display module.It can complete the collection and processing of images in the video, target detection and tracking and display functions, and realize the accuracy and real-time performance of moving target detection and tracking.The experiment results show that the deviation of this research is the smallest when tracking the moving target, which is less than 0.5 cm, and the moving target is added with occluders, attitude changes, interferences, etc.Factors, this study can still track the target until the target moves out of the video range.
关键词
智能视频 /
改进高斯混合模型算法 /
目标检测与跟踪
Key words
intelligent video /
improved Gaussian mixture model algorithm /
target detection and tracking
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参考文献
[1] 吕福友.家用智能视频中运动目标的检测与跟踪[J].通讯世界, 2019, 344(1):186187.
[2] 李艳红.锰矿智能视频监控的运动目标检测技术探讨[J].微型电脑应用, 2019, 35(7):3840.
[3] 郭言信, 朱明旱, 张明月, 等.基于视频的夜间车辆检测与跟踪[J].计算机技术与发展, 2020, 277(5):212216.
[4] 刘洋, 曲晓俊.基于AForge.NET的智能小车室内视频定位技术研究[J].现代计算机, 2019(14):6669, 74.
[5] 李兴玮, 陈慧敏, 吕林珏, 等.面向移动单摄像机的多目标跟踪算法[J].国防科技大学学报, 2020, 42(6):123129.
[6] He F.Intelligent Video Surveillance Technology in Intelligent Transportation[J].Journal of Advanced Transportation, 2020(4):110.
[7] Wu Z, Su L, Huang Q.Learning Coupled Convolutional Networks Fusion for Video Saliency Prediction[J].IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(10):29602971.
[8] 王瑞, 史天运, 包云, 等.一种基于视频的铁路周界入侵检测智能综合识别技术研究[J].仪器仪表学报, 2020, 41(9):190197.
[9] 邱鹏瑞.基于OpenCV的视频监控与跟踪系统研究[J].计算机与数字工程, 2019, 47(4):157160.
[10] 辛奇峰.对基于视频检测技术的智能隧道交通安全监控系统设计探讨[J].城市建设理论研究(电子版), 2019(1):134136.
[11] 李林原, 贾如春, 黄德军, 等.基于SRIO(SerialRapidIO)多模型目标检测跟踪系统设计与研究[J].自动化与仪器仪表, 2019(5):8488.
[12] 黄同愿, 向国徽, 杨雪姣, 等.基于深度学习的行人检测技术研究进展[J].重庆理工大学学报(自然科学版), 2019, 402(4):104115.
[13] Mihandoost S, Azimzadeh E.Introducing an Efficient Statistical Model for Automatic Modulation Classification[J].Journal of signal processing systems for signal, image, and video technology, 2020, 92(1):123134.
[14] H Nodehi, Shahbahrami A.MultiMetric Reidentification for Online MultiPerson Tracking[J].IEEE Transactions on Circuits and Systems for Video Technology, 2021(99):1.
[15] 曲亮, 许杏, 赵杰岩, 等.移动视频监控技术在安防领域的应用[J].信息技术与信息化, 2019(10):7880.
[16] 张春声, 周东.基于雷达与热成像技术的事件智能检测系统在特长隧道上的应用[J].公路交通科技(应用技术版), 2020, 90(10):318321.
[17] 王硕, 王岩松, 王孝兰, 等.基于CNN和LSTM混合模型的车辆行为检测方法[J].智能计算机与应用, 2020, 10(2):232235, 239.
