研究生: |
顧昱得 YU-TE KU |
---|---|
論文名稱: |
基於數字地標影像辨識及手寫字元操作之移動機器人導航控制系統 Mobile Robot Guidance Control System Based on Digit Landmarks Image Recognition and Fingertip Writing Maneuver |
指導教授: |
施慶隆
Ching-Long Shih |
口試委員: |
黃志良
Chih-Lyang Hwang 李文猶 none 何昭慶 none |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 98 |
中文關鍵詞: | 影像處理 、數字地標辨識 、手寫字元辨識 、移動機器人導航 、FPGA |
外文關鍵詞: | Image processing, Digit landmarks image recognition, Fingertip writing recognition, Mobile robot guidance, FPGA. |
相關次數: | 點閱:231 下載:20 |
分享至: |
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本論文之目的是經由符號辨識的技術來解決有關移動機器人的定位、導航與人機互動的問題,所完成之系統係使用Verilog HDL在FPGA晶片上實現。此系統由三個子系統所組成,包括全方位移動機器人子系統、地標影像辨識子系統與即時影像手寫辨識子系統。影像或符號是機器人所要接收的外在資訊,藉由使用影像辨識之技術,機器人可以偵測使用者的命令、目前所在的位置以及機器人的姿態。即時影像手寫辨識子系統可以辨識一筆畫的字元軌跡,包括阿拉伯數字 0 到 9 與英文字母 a 到 z 總共36個符號。地標影像辨識子系統可辨識天花板上張貼的數字地標圖案,包括阿拉伯數字 1 到 9。全方位移動機器人子系統則根據使用者書寫的字元與貼在天花板上之地標圖案的資訊決定其動作。
The object of the paper is intended to deal with the issues regarding positioning and navigation of a mobile robot, and human–computer interaction by using the technique of symbol identification. The system is implemented on FPGA chip by programming with Verilog. The system consists of three sub-systems including an omnidirectional mobile robot sub-system, a landmark Image recognition sub-system and a real time vision-based fingertip-writing character recognition sub-system. Image or symbol is the only external information received by the mobile robot. The robot can detect the user's command, the current location and the posture of the robot by using the technique of image recognition. The real time vision-based fingertip-writing character recognition sub-system can recognize the track of character strokes including Arabic numerals 0-9 and English alphabet a to z total of which are 36 symbols. The landmark Image recognition sub-system can identify the pattern of digit landmarks including Arabic numerals 0-9, which were pasted on ceiling.The omnidirectional mobile robot sub-system will move according to the information regarding the characters input by user and the landmark Image pasted on ceiling.
[1] Z. Zafrulla, H. Brashear, T. Starner, H. Hamilton and P. Presti, “American sign
language recognition with the Kinect”, Proceedings of the 13th International Conference on Multimodal Interfaces , pp. 279-286, 2011.
[2] S. Mitra and T. Acharya, “Gesture recognition: a survey”, IEEE Transactions on Systems, Man, and Cybernetics, Part C -Applications and Reviews, Vol. 37, No. 3,
pp. 311-324, 2007.
[3] S. L. Phung, A. Bouzerdoum, and D. Chai, “Skin segmentation using color pixel classification: Analysis and comparison”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, Number. 1, pp. 148-154, 2005.
[4] D. Lee and S. Lee, “Vision-based finger action recognition by angle detection and contour analysis”, ETRI Journal, Vol. 33, No. 3, pp. 415-422, 2011.
[5] Xin Zhang , Lianwen Jin and Ziyong Feng , “Finger-writing-in-the-air system using kinect sensor”, IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-4, 2013.
[6] L. Jin, D. Yang, L. Zhen and J. Huang, “A novel vision based finger-writing character recognition system”, IEEE International Conference on Pattern Recognition (ICPR'06), Vol. 1, pp. 1104-1107, 2006.
[7] D. Lee and S. Lee, “Vision-based finger action recognition by angle detection and
contour analysis”, Journal of ETRI, Vol. 33, No. 3, pp. 415-422, 2011.
[8] Mohammed Elmogy , “Landmark manipulation system for mobile robot navigation”, IEEE International Conference on Computer Engineering and Systems (ICCES),
pp. 120-125, 2010.
[9] Wenzheng Chi , Wei Zhang , Jason Gu and Hongliang Ren, “A vision-based mobile robot localization method”, IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2703-2708, 2013.
[10] Rui Lin, Zhenhua Wang, Rongchuan Sun and Lining Sun, “Image features-based mobile robot localization”, IEEE International Conference on Information and Automation Shenyang , pp. 304-310, 2012.
[11] Juntao Li , Zhilei Wu, Jun Zhang , Weiyi Chen, “Research of AGV positioning based on the two-dimensional code recognition method”, IEEE International Conference on Logistics, Informatics and Service Sciences (LISS) , pp. 1-6, 2015.
[12] 林啟賢,基於地圖之室內自走車導航研究,國立成功大學電機工程學系碩士論文,2009。
[13] 陳柏安,室內自走機器人之定位系統設計和實作,國立台灣科技大學機械工程學系碩士學位論文,2012。
[14] 楊勝明,以圖樣辨識為基礎之自走車導航控制,國立中央大學電機工程學系碩士論文,2010。
[15] Li Guanghui, Jiang Zhijian. “An artificial landmark design based on mobile robot localization and navigation”, IEEE International Conference on Intelligent Computation Technology and Automation (ICICTA) , Vol. 1, pp. 588 - 591, 2011.
[16] 謝易軒,自走車的立體障礙物偵測, 國立中央大學資訊工程學系碩士論文, 2013。
[17] M. Van den Bergh, D. Carton, R. De Nijs, N. Mitsou, C. Landsiedel, K. Kuehnlenz, D. Wollherr, L. Van Gool and M. Buss, “Real-time 3D hand gesture interaction with a robot for understanding directions from humans”, IEEE International Symposium on Robot and Human Interactive Communication, pp. 357-362, 2011.
[18] Minoru Mori, “Video based handwritten characters recognition”, Character Recognition Chapter 7, Publisher Sciyo, August, 2010
[19] Fu-An Huang, Chung-Yen Su and Tsai-Te Chu, “Kinect-based mid-air handwritten digit recognition using multiple segments and scaled coding”, IEEE International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), pp. 694-697, 2013.
[20] Hiroyuki Ishida, Tomokazu Takahashi , Ichiro Ide ,Hiroshi Murase, “A hilbert warping method for camera-based finger-writing recognition”, IEEE International Conference Pattern Recognition (ICPR), pp. 1-5, 2008.
[21] Kayhan Moharreri, Chirag Tayal , “Gesture based character recognition”, CSE 5524: Computer Vision for Human-Computer Interaction, The Ohio State University, 2007
[22] Mohammad Reza ,Aminian Heidari, Azrulhizam Shapi ,Riza Sulaiman , “Writing in the air using kinect and growing neural gas network”, Penerbit UTM Press, Universiti Teknologi Malaysia, 2012.
[23] 原著Gonzalez Woods ,譯者繆紹綱,數位影像處理,培生教育出版公司,2009。
[24] 鍾國亮,影像處理與電腦視覺,第五版,東華書局,2014。
[25] 許鈞霖,以硬軟體共同設計的自走車之地標搜索、視覺辨識、建圖及視覺導引 , 國立台灣科技大學電機工程學系碩士學位論文, 2015。
[26] 原著Stuart Russell, Peter Norvig,編譯 高超群,審定 張俊盛,人工智慧現代方法,第二版,全華圖書股份有限公司,2006。
[27] 施慶隆、李文猶,機電整合控制--多軸運動設計與應用,第二版,全華圖書股份有限公司,2009。