簡易檢索 / 詳目顯示

研究生: 王根顥
Ken-Hao Wang
論文名稱: 基於深度學習的「拿了就走」無人商店
Get and Go Unmanned Store using Deep Learning Technology
指導教授: 洪西進
Shi-Jinn Horng
口試委員: 謝仁偉
Jen-Wei Hsieh
顏成安
Cheng-An Yen
學位類別: 碩士
Master
系所名稱: 電資學院 - 資訊工程系
Department of Computer Science and Information Engineering
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 59
中文關鍵詞: 無人商店物件辨識深度學習
外文關鍵詞: Unmanned Store, Object Detection, Deep Learning
相關次數: 點閱:272下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報


第一章 緒論 1 1.1 研究動機 1 1.2 相關研究 2 1.3 論文章節安排 5 第二章 環境架構 6 2.1 環境架構 6 2.2 購物流程 9 第三章 辨識系統 10 3.1 物件辨識 10 3.1.1 物件辨識介紹 10 3.1.2 資料蒐集 15 3.1.3 資料前處理 20 3.1.4 NMS(Non-Maximum Suppression)非極大值抑制 24 3.2 人臉辨識 26 第四章 購物判定 28 4.1 購物判定演算法 28 第五章 實驗結果 36 5.1 環境架構 36 5.2 實際應用 39 第六章 結論 46 參考文獻 47

[1] R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” In CVPR, 2014.
[2] R. Girshick, “Fast R-CNN,” arXiv:1504.08083, 2015.
[3] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards real-time object detection with region proposal networks,” In NIPS, 2015.
[4] Redmon, J., Divvala, S., Girshick, R., Farhadi, A., “You only look once: Unified, real-time object detection,” In: CVPR. 2016.
[5] J. Redmon and A. Farhadi, “YOLO9000: Better, faster, stronger,” In CVPR, 2017.
[6] Joseph Redmon and Ali Farhadi, “Yolov3: An incremental improvement,” arXiv preprint arXiv:1804.02767, 2018.
[7] W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. Reed, “Ssd: Single shot multibox detector,” arXiv preprint arXiv:1512.02325, 2015.
[8] T. Ojala, M. Pietikäinen, and D. Harwood (1994), “Performance evaluation of texture measures with classification based on Kullback discrimination of distributions,” Proceedings of the 12th IAPR International Conference on Pattern Recognition (ICPR 1994), vol. 1, pp. 582 - 585.
[9] N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” In CVPR, 2005.
[10] Y. Taigman, M. Yang, M. Ranzato, and L. Wolf, “Deepface: Closing the gap to human-level performance in face verification,” In CVPR, 2014.
[11] F. Schroff, D. Kalenichenko, and J. Philbin, “Facenet: A unified embedding for face recognition and clustering,” arXiv preprint arXiv:1503.03832, 2015.
[12] A. Neubeck, L. Van Gool, “Efficient non-maximum suppression,” ICPR, 2006.
[13] J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders, “Selective search for object recognition,” IJCV, 2013.
[14] A. Krizhevsky, I. Sutskever, and G. Hinton, “Imagenet classification with deep convolutional neural networks,” In NIPS, 2012.
[15] Chang, C.-C., and Lin, C.-J., “LIBSVM: A library for support vector machines,” ACM Transactions on Intelligent Systems and Technology 2:27:1–27:27, 2011. Software available at http://www.csie. ntu.edu.tw/∼cjlin/libsvm.
[16] Tzutalin. LabelImg, “Git code,” 2015. https://github.com/tzutalin/labelImg
[17] Shorten, C., Khoshgoftaar, T. M., “A survey on image data augmentation for deep learning,” J Big Data 6, 60, 2019. https://doi.org/10.1186/s40537-019-0197-0
[18] Huang, T., (2018) 機器/深度學習: 物件偵測 Non-Maximum Suppression (NMS). Retrieved from https://medium.com/@chih.sheng.huang821/%E6%A9%9F%E5%99%A8-%E6%B7%B1%E5%BA%A6%E5%AD%B8%E7%BF%92-%E7%89%A9%E4%BB%B6%E5%81%B5%E6%B8%AC-non-maximum-suppression-nms-aa70c45adffa
[19] Bochkovskiy, Alexey & Wang, Chien-Yao & Liao, Hong-yuan. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection.

無法下載圖示 全文公開日期 2025/08/18 (校內網路)
全文公開日期 2025/08/18 (校外網路)
全文公開日期 2025/08/18 (國家圖書館:臺灣博碩士論文系統)
QR CODE