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研究生:邵新偉
研究生(外文):Shao, Hsin-Wei
論文名稱:基於深度學習之貨櫃碼辨識
論文名稱(外文):Recognizing BIC-codes on Shipping Container Using Deep Learning
指導教授:謝君偉謝君偉引用關係蔡宇軒蔡宇軒引用關係
指導教授(外文):Hsieh, Jun-WeiTsai, Yu-Shiuan
口試委員:范國清張傳育柯建全
口試委員(外文):Fan, Kuo-ChinChang, Chuan-YuKo, Chien-Chuan
口試日期:2020-07-30
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:英文
論文頁數:56
中文關鍵詞:卷積神經網路物件偵測深度學習
外文關鍵詞:Convolutional neural networkObject detectDeep learning
相關次數:
  • 被引用被引用:0
  • 點閱點閱:154
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摘 要 I
Abstract II
Acknowledgment III
Table of Content IV
List of Figure VI
List of Table IX
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 2
1.3 Related Work 3
1.4 Thesis Architecture 5
Chapter 2 Background Knowledge 6
2.1 Convolution Neural Networks 6
2.2 Deep Neural Networks 9
2.3 Supervised Learning 11
2.4 Un-supervised Learning 13
2.5 BIC-Codes Introduction 13
Chapter 3 Container Codes Detection System 19
3.1 Pre-processing 19
3.2 Deep Neural Network Framework 24
3.3 Post-processing 29
Chapter 4 Result 46
4.1 Experiment Environment and Equipment 46
4.2 Container Code Dataset 47
4.3 Experiment Result 49
Chapter 5 Conclusion 52
Reference 53
[1] A. Krizhevsky, I. Sutskever, and G. E. Hinton, "ImageNet classification with deep convolutional neural networks," Advances in neural information processing systems, 2012.

[2] W. Liu, D, et al., "Ssd: Single shot multibox detector," In European conference on computer vision, pages 21–37. Springer, 2016.

[3] S. Ren, K. He, R. Girshick, and J. Sun, "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks," Visual Communications and Image Processing (VCIP), 1-4, 2016

[4] J. Redmon and A. Farhadi, "Yolo9000: Better, faster, stronger," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 7263–7271, 2017.

[5] J.Redmon, and A. Farhadi "YOLOv3: An Incremental Improvement," arXiv preprint arXiv:1804.02767, 2018.

[6] K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 770–778, 2016.

[7] T.-Y. Lin, et al. "Feature pyramid networks for object detection," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2117–2125, 2017.

[8] A. Bochkovskiy, C.-Y. Wang, and H.-Y. M. Liao, "YOLOv4: Optimal Speed and Accuracy of Object Detection," (CVPR) Computer Vision and Pattern Recognition, 2020.

[9] C.-Y. Wang, et al., "CSPNet:A new backbone that can enhance learning capability of cnn," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 2020.

[10] K. He, et al., "Spatial pyramid pooling in deep convolutional networks for visual recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(9):1904–1916, 2015.

[11] M. Weng, Q. Liu and J. Guo, "MSER and Connected Domain Analysis Based Algorithm for Container Code Locating Process," International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2017.

[12] M. Zhang, X. Wang, and J. Xiao, "A new method of the container codes' localization and character segmentation," Chinese Control and Decision Conference , 2009.

[13] A. Verma, M. Sharma, R. Hebbalaguppe, E. Hassan, and L. Vig, "Automatic Container Code Recognition via Spatial Transformer Networks and Connected Component Region Proposals," IEEE International Conference on Machine Learning and Applications. 2016.

[14] B. Ding, J. Guo, and J. Hu, "Container number localization based on SSD algorithm," Youth Academic Annual Conference of Chinese Association of Automation (YAC), 2019.

[15] W. Zhiming, W. Wuxi, and X. Yuxiang, "Automatic Container Code Recognition via Faster-RCNN," International Conference on Control, Automation and Robotics (ICCAR), 2019.

[16] L. Mei, et al., "A Novel Framework for Container Code-Character Recognition Based on Deep Learning and Template Matching," International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII), 2016.

[17] C. Li, et al., "Automatic Container Code Localization and Recognition via an Efficient Code Detector and Sequence Recognition," IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2019.

[18] L. Xing, Z. Tian, W. Huang, and M. R. Scott, "Convolutional Character Networks," In Proceedings of the IEEE International Conference on Computer Vision, (pp. 9126-9136), 2019.

[19] X. Liu, et al., "Fots: Fast oriented text spotting with a unified network," In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 5676-5685), 2018.

[20] R. J. Wang, X. Li, and C. X. Ling "Pelee: A Real-Time Object Detection System on Mobile Devices," In Advances in Neural Information Processing Systems (pp. 1963-1972), 2018.
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