Anomaly detection of isolating switch based on single shot multibox detector and improved frame differencing |
Duan, Yuanfeng
(College of Civil Engineering and Architecture, Zhejiang University)
Zhu, Qi (College of Civil Engineering and Architecture, Zhejiang University) Zhang, Hongmei (College of Civil Engineering and Architecture, Zhejiang University) Wei, Wei (College of Civil Engineering and Architecture, Zhejiang University) Yun, Chung Bang (College of Civil Engineering and Architecture, Zhejiang University) |
1 | Simonyan, K. and Zisserman, A. (2014), "Very Deep Convolutional Networks for Large-Scale Image Recognition", Proceedings of 2015 International Conference on Learning Representations (ICLR), San Diego, CA, USA, May. |
2 | Wang, H., Xu, F., Jin, Y.Q. and Ouchi, K. (2009), "Estimation of bridge height over water from polarimetric sar image data using mapping and projection algorithm and de-orientation theory", IEICE Transact. Commun., 92(12), 3875-3882. https://doi.org/10.1587/transcom.E92.B.3875 DOI |
3 | Nassu, B.T., Lippmann, L., Marchesi, B., Canestraro, A. and Zarnicinski, V. (2018), "Image-based state recognition for disconnect switches in electric power distribution substations", Proceedings of the 31st Conference on Graphics, Patterns and Images (SIBGRAPI), Foz do Iguacu, Brazil, October. |
4 | Goodfellow, I., Bengio, Y. and Courville, A. (2016), Deep Learning, The MIT Press. |
5 | Guo, Y., Xu, Y. and Li, S. (2020), "Vision-based full-field panorama generation by UAV using GPS data and feature points filtering", Smart Struct. Syst., Int. J., 25(5), 631-641. https://doi.org/10.12989/sss.2020.25.5.631 DOI |
6 | Jun, K.S., Jae-Yeal, N. and Chul, K.B. (2018), "Online tracker optimization for multi-pedestrian tracking using a moving vehicle camera", IEEE Access, 6, 48675-48687. https://doi.org/10.1109/ACCESS.2018.2867621 DOI |
7 | Li, W.B., Chang, M.C. and Lyu, S. (2018), "Who did what at where and when: Simultaneous multi-person tracking and activity recognition", University at Albany, New York, NY, USA. |
8 | Liu, Y.Q., Zhan, F.Y., Jiang, X.W. and Zhou, H.Y. (2017), MATLAB: computer vision and deep learning combat. |
9 | Li, S., Guo, Y., Xu, Y. and Li, Z. (2019), "Real-time geometry identification of moving ships by computer vision techniques in bridge area", Smart Struct. Syst., Int. J., 23(4), 359-371. https://doi.org/10.12989/sss.2019.23.4.359 DOI |
10 | Redmon, J., Divvala, S., Girshick, R. and Farhadi, A. (2016), "You only look once: Unified, real-time object detection", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June. |
11 | Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y., and Berg, A.C. (2016), "SSD:Single shot multibox detector", Proceedings of European Conference on Computer Vision, Amsterdam, Netherlands, October. |
12 | Paul, N., Singh, A., Midya, A., Roy, P.P. and Dogra, D.P. (2017), "Moving object detection using modified temporal differencing and local fuzzy thresholding", J. Supercomput., 73, 1120-1139. https://doi.org/10.1007/s11227-016-1815-7 DOI |
13 | Li, M.H., Liu, Z.X., Xiong, Y.Y. and Li, Z. (2017), "Multi-person tracking by discriminative affinity model and hierarchical association", Proceedings of the 3rd IEEE International Conference on Computer and Communications (ICCC), Sichuan, China, December. |
14 | Mittal, S. (2013), "Object tracking using adaptive frame differencing and dynamic template matching method", Bachelor. Dissertation; National Institute of Technology Rourkela, Odisha, India. |
15 | Otsu, N. (1979), "A thresholding selection method from gray-level histogram", IEEE Trans.syst.man. & Cybern, 9(1), 62-66. DOI |
16 | Serra, J. (1982), "Image analysis and mathematical morphology", Biometrics, 39(2), 536. |
17 | Shi, Y.H., Luo, Y., Tu, G.Y. and Wu, T. (2007), "An edge detectable algorithm for high-voltage isolating switch", Relay, 35(12), 23-26. DOI |
18 | Ye, X.W., Dong, C.Z. and Liu, T. (2016), "Image-based structural dynamic displacement measurement using different multi-object tracking algorithms", Smart Struct. Syst., Int. J., 17(6), 935-956. https://doi.org/10.12989/sss.2016.17.6.935 DOI |
19 | Yu, C., Ding, X., Zhang, G. and Chen, M. (2017), "Observing Bridge Dynamic Deformation in Vibration by Digital Photography System", Proceedings of 2nd International Conference on Mechatronics and Information Technology. |
20 | Ran, N., Kong, L., Wang, Y.H. and Liu, Q.J. (2019), "A robust multi-athlete tracking algorithm by exploiting discriminant features and long-term dependencies", Proceedings of the 25th International Conference on Multimedia Modeling (MMM), Thessaloniki, Greece, January. |
21 | Siddiqui, Z.A., Park, U., Lee, S.-W., Jung, N.-J., Choi, M., Lim, C. and Seo, J.-H. (2018), "Robust powerline equipment inspection system based on a convolutional neural network", Sensors, 18(11), 3837. https://doi.org/10.3390/s18113837 DOI |
22 | Supreeth, H.S.G. and Patil, C.M. (2018), "Efficient multiple moving object detection and tracking using combined background subtraction and clustering", Signal Image and Video Processing, 12(6), 1097-1105. https://doi.org/10.1007/s11760-018-1259-z DOI |
23 | Hough, V.P.C. (1962), Method and means for recognizing complex patterns. |
24 | Zhu, D., Feng, Y., Chen, Q. and Cai, J. (2010), "Image recognition technology in rotating machinery fault diagnosis based on artificial immune", Smart Struct. Syst., Int. J., 6(4), 389-403. https://doi.org/10.12989/sss.2010.6.4.389 DOI |
25 | Felzenszwalb, P., Girshick, R., McAllester, D. and Ramanan, D. (2010), "Object detection with discriminatively trained part based models", IEEE Transact. Pattern Anal. Mach. Intell., 32(9), 1627-1645. https://doi.org/10.1109/TPAMI.2009.167 DOI |
26 | Shafiee, M.J., Chywl, B., Li, F. and Wong, A. (2017), "Fast YOLO: A fast you only look once system for real-time embedded object detection in video", J. Computat. Vision Imag. Syst., 3(1). |
27 | Bouvy, R.J., Vincent, J., Parulski, K.A., Balch, K.S. and Erickson, G.L. (1995), "Progressive scan 30-frame-per-second megapixel camera", Proceedings of SPIE - The International Society for Optical Engineering, 2416, 30-36. |
28 | Duda, R.O. and Peter, E.H. (1972), "Use of the Hough transformation to detect lines and curves in pictures", Commun. ACM, 15(1), 11-15. https://doi.org/10.1145/361237.361242 DOI |
29 | Fei, M.J., Li, J. and Liu, H.H. (2015), "Visual tracking based on improved foreground detection and perceptual hashing", Neurocomputing, 152, 413-428. https://doi.org/10.1016/j.neucom.2014.09.060 DOI |
30 | Girshick, R. (2015), Fast R-CNN, Computer Science. |
31 | YOLOv5 (2020), https://github.com/ultralytics/yolov5. Ultralytics LLC, CA, USA. |
32 | Ren, S., He, K., Girshick, R. and Sun, J. (2015), "Faster R-CNN:Towards real-time object detection with region proposal networks", Proceedings of the 29th Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Canada, December. |
33 | Lei, X.S. and Sui, Z.H. (2019), "Intelligent fault detection of high voltage line based on the Faster R-CNN", Measurement, 138, 379-385. https://doi.org/10.1016/j.measurement.2019.01.072 DOI |
34 | Tang, S., Andriluka, M., Andres, B. and Schiele, B. (2017), "Multiple person tracking by lifted multicut and person re-identification", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Puerto Rico, USA, June. |
35 | Wang, J., Liu, Q., Zhao, K., Yi, J. and Kai, P. (2017), "Recognition of high voltage isolating switch's states based on object tracking", Proceedings of 4th International Conference on Systems and Informatics (ICSAI), Zhejiang, China, November. |
36 | Mondal, T.G. and Jahanshahi, M.R. (2020), "Autonomous vision-based damage chronology for spatiotemporal condition assessment of civil infrastructure using unmanned aerial vehicle", Smart Struct. Syst., Int. J., 25(6), 733-749. https://doi.org/10.12989/sss.2020.25.6.733 DOI |
37 | Chen, A.W., Le, Q.M., Zhang, Z.Y. and Sun, Y. (2012), "Image recognition method for substation disconnecting switches state based on robots", Automat. Electric Power Syst., 6, 106-110. |
38 | Choi, J.W., Wangbo, T.K. and Kim, C.G. (2015), "A contour tracking method of large motion object using optical flow and active contour model", Multimedia Tools Applicat., 74(1), 199-210. https://doi.org/10.1007/s11042-013-1756-6 DOI |
39 | Wanyan, X.X., Fu, Q.C. and Xin, J. (2019), "Research on multi - target recognition of traction substation video based on transfer learning", Comput. Eng. Applicat., 55(24), 196-201. |
40 | Yin, X., Chen, W., Wu, X. and Yue, H. (2018), "Fine-tuning and visualization of convolutional neural networks", Proceedings of 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), IEEE. |
41 | Zhao, R., Shang, W., Wang T. and Zou, X. (2016), "State Evaluation of Isolating Switch in Transformer Substation Based on Image Processing", Comput. Measure. Control, 24, 241. |
42 | Zhao, D.W., Fu, H., Xiao, L., Wu, T. and Dai, B. (2018), "Multi-object tracking with correlation filter for autonomous vehicle", Sensors, 18(7), 2004. https://doi.org/10.3390/s18072004 DOI |
43 | Zoph, B., Cubuk, E.D., Ghiasi, G., Lin, T.Y., Shlens, J. and Le, Q.V. (2020), "Learning data augmentation strategies for object detection", Proceedings of European Conference on Computer Vision. |
44 | Geiger, A., Lenz, P., Stiller, C. and Urtasun, R. (2013), "Vision meets robotics: The kitti dataset", Int. J. Robot. Res., 32(11), 1231-1237. https://doi.org/10.1177/0278364913491297 DOI |
45 | Rahman, M.A. and Wang, Y. (2016), "Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation", Proceedings of the 12th International Symposium on Visual Computing (ISVC), Las Vegas, VA, USA, December. |
46 | Sharma, S., Ansari, J.A., Murthy, J.K. and Krishna, K.M. (2017), "Beyond pixels: Leveraging geometry and shape cues for online multi-object tracking", Proceedings of 2018 IEEE International Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, June. |
47 | Everingham, M., Eslami, S.M.A., Van Gool, L., Williams, C.K.I., Winn, J. and Zisserman, A. (2015), "The pascal visual object classes challenge: a retrospective", Int. J. Comput. Vis., 111(1), 98-136. https://doi.org/10.1007/s11263-014-0733-5 DOI |
48 | Fang, S., Shu, X.H. and Li, D.W. (2017), "A Method based on machine vision for opening-closing status recognition of substation disconnecting switches", J. Hunan Univ. Technol., 06, 1673-9833. |
![]() |