欧拉运动放大算法在桥梁振动分析中的试验研究
|
摘要
为发展新的桥梁动态位移识别和分析方法,解决桥梁非接触式动态位移测量中的振动显微问题,将欧拉运动放大算法应用于桥梁振动分析。首先利用普通摄像机连续采集一系列桥梁数字影像。而后通过欧拉运动放大算法,对桥梁的连续图像序列进行空域分解,使用对微弱运动敏感的时域带通滤波器进行滤波,得到连续图像序列中的微小振动,再对低频的振动信号采用信号放大处理。随后,通过对振动放大后的数字影像进行帧数分解,获得常规视频采样频率下的桥梁试件振动时间历程序列,最后通过对图像序列中标记点的边缘特征分析,得到了试验桥梁标记点的动态位移测量结果。通过与位移传感器测量结果和百分表的比较,证明所采用和提出的分析方法是可行的,能够满足桥梁动态位移测量的应用需求,也能够针对桥梁的某些振动特性开展初步的定量分析,做到对桥梁结构的微小振动位移进行识别。
In order to develop a new method for identifying and analyzing dynamic displacement of bridges and solve the micro-vibration problem in non-contact dynamic displacement measurement of bridges,Euler motion magnification algorithm is applied to bridge vibration analysis. First,a series of digital images of bridge structures are collected continuously by ordinary camera. Then,by using Euler motion magnification algorithm,the continuous image sequence of bridge is decomposed in spatial domain,the time-domain bandpass filter sensitive to weak motion is used for filtering to obtain the micro-vibration in the continuous image sequence,and then the low-frequency vibration signal is amplified. Subsequently,the time history image sequence of the bridge specimen under the conventional video sampling frequency is obtained by frame decomposing the amplified digital image. Finally,the dynamic displacement measurement result of the labeled points on the test bridge is obtained by analyzing the edge characteristics of the labeled points in the image sequence. Compared with the measurement results of displacement sensor and the dial indicator,it is proved that the presented analysis method is feasible. It can meet the application requirements of bridge dynamic displacement measurement,it can also carry out preliminary quantitative analysis of some vibration characteristics of bridges and to identify the micro vibration displacements of bridge structures.
In order to develop a new method for identifying and analyzing dynamic displacement of bridges and solve the micro-vibration problem in non-contact dynamic displacement measurement of bridges,Euler motion magnification algorithm is applied to bridge vibration analysis. First,a series of digital images of bridge structures are collected continuously by ordinary camera. Then,by using Euler motion magnification algorithm,the continuous image sequence of bridge is decomposed in spatial domain,the time-domain bandpass filter sensitive to weak motion is used for filtering to obtain the micro-vibration in the continuous image sequence,and then the low-frequency vibration signal is amplified. Subsequently,the time history image sequence of the bridge specimen under the conventional video sampling frequency is obtained by frame decomposing the amplified digital image. Finally,the dynamic displacement measurement result of the labeled points on the test bridge is obtained by analyzing the edge characteristics of the labeled points in the image sequence. Compared with the measurement results of displacement sensor and the dial indicator,it is proved that the presented analysis method is feasible. It can meet the application requirements of bridge dynamic displacement measurement,it can also carry out preliminary quantitative analysis of some vibration characteristics of bridges and to identify the micro vibration displacements of bridge structures.
引文
[1] POH M Z,MCDUFF D J,PICARD R W.Non-contact,Automated Cardiac Pulse Measurements Using Video Imaging and Blind Source Separation[J].Optics Express,2010,18(10):10762-10774.
[2] LIU C,TORRALBA A,FREEMAN W T,et al.Motion Magnification[J].ACM Transactions on Graphics,2005,24(3):519-526.
[3] SAND P,TELLER S.Particle Video:Long-range Motion Estimation Using Point Trajectories[J].International Journal of Computer Vision,2008,80(1):72.
[4] TORRALBA A,MURPHY K P,FREEMAN W T.Shared Features for Multiclass Object Detection[J].Toward Category-Level Object Recognition,2006,4170:345-361.
[5] FREEMAN W T,WILLSKY A S,SUDDERTH E B.Graphical Models for Visual Object Recognition and Tracking[J].Thesis Massachusetts Institute of Technology,2006,15(3):66-76.
[6] WU H Y,RUBINSTEIN M,SHIH E,et al.Eulerian Video Magnification for Revealing Subtle Changes in the World[J].ACM Transactions on Graphics,2012,31(4):65.
[7] RUBINSTEIN M,SHAMIR A,AVIDAN S.Improved Seam Carving for Video Retargeting[J].ACM Trans Graphics,2008,27(3):1-9.
[8] BENNETT S L,GOUBRAN R,KNOEFEL F.The Detection of Breathing Behavior Using Eulerian-enhanced Thermal Video[C]// 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).Milan:IEEE,2015.
[9] HOLDSWORTH S J,RAHIMI M S,NI W W,et al.Amplified Magnetic Resonance Imaging (aMRI)[J].Magnetic Resonance in Medicine,2016,75(6):2245-2254.
[10] WADHWA N,RUBINSTEIN M,DURAND F,et al.Complex-valued Phase-based Eulerian Motion Modulation:US,20140072229 A1[P].2014-07-22.
[11] WADHWA N,RUBINSTEIN M,DURAND F.Phase-based Video Motion Processing[J].ACM Transactions on Graphics,2013,32(4):1-10.
[12] TAJ-EDDIN I A T F,AFIFI M,KORASHY M,et al.Can We See Photosynthesis?Magnifying the Tiny Color Changes of Plant Green Leaves Using Eulerian Video Magnification[J].Journal of Electronic Imaging,2017,26(6):1-4.
[13] CHENG M M,ZHANG G X,MITRA N J,et al.Global Contrast Based Salient Region Detection[C]// 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Colorado Springs:IEEE,2011.
[14] LIU Y F,VUONG C,WALKER P C,et al.Noninvasive Free Flap Monitoring Using Eulerian Video Magnification[J].Case Reports in Otolaryngology,2016,16(4):1-4.
[15] PARK S,KIM D .Subtle Facial Expression Recognition Using Motion Magnification[J].Pattern Recognition Letters,2009,30(7):708-716.
[16] CHEN J G,WADHWA N,CHA Y J,et al.Modal Identification of Simple Structures with High-speed Video using Motion Magnification[J].Journal of Sound & Vibration,2015,345:58-71.
[17] DAVIS A,BOUMAN K L,CHEN J G,et al.Visual Vibrometry:Estimating Material Properties from Small Motions in Video[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition.Boston:IEEE,2015:5335-5343.
[18] 高尚兵,颉正,潘志庚,等.一种新的路面裂缝自动检测算法[J].系统仿真学报,2017,29(9):2009-2015.GAO Shang-bing,XIE Zheng,PAN Zhi-geng.Novel Automatic Pavement Crack Detection Algorithm [J].Journal of System Simulation,2017,29(9):2009-2015.
[2] LIU C,TORRALBA A,FREEMAN W T,et al.Motion Magnification[J].ACM Transactions on Graphics,2005,24(3):519-526.
[3] SAND P,TELLER S.Particle Video:Long-range Motion Estimation Using Point Trajectories[J].International Journal of Computer Vision,2008,80(1):72.
[4] TORRALBA A,MURPHY K P,FREEMAN W T.Shared Features for Multiclass Object Detection[J].Toward Category-Level Object Recognition,2006,4170:345-361.
[5] FREEMAN W T,WILLSKY A S,SUDDERTH E B.Graphical Models for Visual Object Recognition and Tracking[J].Thesis Massachusetts Institute of Technology,2006,15(3):66-76.
[6] WU H Y,RUBINSTEIN M,SHIH E,et al.Eulerian Video Magnification for Revealing Subtle Changes in the World[J].ACM Transactions on Graphics,2012,31(4):65.
[7] RUBINSTEIN M,SHAMIR A,AVIDAN S.Improved Seam Carving for Video Retargeting[J].ACM Trans Graphics,2008,27(3):1-9.
[8] BENNETT S L,GOUBRAN R,KNOEFEL F.The Detection of Breathing Behavior Using Eulerian-enhanced Thermal Video[C]// 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).Milan:IEEE,2015.
[9] HOLDSWORTH S J,RAHIMI M S,NI W W,et al.Amplified Magnetic Resonance Imaging (aMRI)[J].Magnetic Resonance in Medicine,2016,75(6):2245-2254.
[10] WADHWA N,RUBINSTEIN M,DURAND F,et al.Complex-valued Phase-based Eulerian Motion Modulation:US,20140072229 A1[P].2014-07-22.
[11] WADHWA N,RUBINSTEIN M,DURAND F.Phase-based Video Motion Processing[J].ACM Transactions on Graphics,2013,32(4):1-10.
[12] TAJ-EDDIN I A T F,AFIFI M,KORASHY M,et al.Can We See Photosynthesis?Magnifying the Tiny Color Changes of Plant Green Leaves Using Eulerian Video Magnification[J].Journal of Electronic Imaging,2017,26(6):1-4.
[13] CHENG M M,ZHANG G X,MITRA N J,et al.Global Contrast Based Salient Region Detection[C]// 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Colorado Springs:IEEE,2011.
[14] LIU Y F,VUONG C,WALKER P C,et al.Noninvasive Free Flap Monitoring Using Eulerian Video Magnification[J].Case Reports in Otolaryngology,2016,16(4):1-4.
[15] PARK S,KIM D .Subtle Facial Expression Recognition Using Motion Magnification[J].Pattern Recognition Letters,2009,30(7):708-716.
[16] CHEN J G,WADHWA N,CHA Y J,et al.Modal Identification of Simple Structures with High-speed Video using Motion Magnification[J].Journal of Sound & Vibration,2015,345:58-71.
[17] DAVIS A,BOUMAN K L,CHEN J G,et al.Visual Vibrometry:Estimating Material Properties from Small Motions in Video[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition.Boston:IEEE,2015:5335-5343.
[18] 高尚兵,颉正,潘志庚,等.一种新的路面裂缝自动检测算法[J].系统仿真学报,2017,29(9):2009-2015.GAO Shang-bing,XIE Zheng,PAN Zhi-geng.Novel Automatic Pavement Crack Detection Algorithm [J].Journal of System Simulation,2017,29(9):2009-2015.