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研究生:曾永僑
研究生(外文):Yong-Qiao Zeng
論文名稱:供即時同步臉部運動控制用之跑步機上跑者臉部運動軌跡偵測
論文名稱(外文):Real-time Face Detection of a Runner on a Treadmill for Face Motion Synchronization Control
指導教授:林其禹林其禹引用關係
指導教授(外文):Chyi-Yeu Lin
口試委員:范欽雄邱士軒
口試委員(外文):Chin-Shyurng FahnShih-Hsuan Chiu
口試日期:2018-07-27
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:機械工程系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:51
中文關鍵詞:人臉追蹤跑步機同步運動馬達控制
外文關鍵詞:Face trackingTreadmillSynchronization motionMotor control
相關次數:
  • 被引用被引用:1
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  • 下載下載:32
  • 收藏至我的研究室書目清單書目收藏:1
本研究結合馬達控制、串列通訊、電腦影像視覺函示庫等技術,開發出一套追蹤機構,用於動態追蹤人臉影像,針對使用者在跑步機上跑步並同時觀看前方的螢幕內容造成眼睛因不斷調整觀看角度而不適的問題提出解決方案。
跑者跑步過程中,利用網路攝影機(Webcam)進行影像擷取,偵測跑者臉部的移動軌跡並同時計算出週期頻率,再用週期頻率推算出同步運動機構之驅動馬達速度,最後輸出給馬達控制器以控制同步運動機構的移動,隨著跑者的速度變化即時修正馬達轉速,讓上面裝設螢幕的同步運動控制機構得以跟跑步機上跑者的臉部運動進行同步運動,讓跑者邊跑邊看前方同步運動中的螢幕內容呈現相對靜止的效果。
This research combines technologies such as motor control, serial communication, and computer image visual library. Develop a tracking mechanism for dynamically tracking face image. To solve the problem of the user running on the treadmill while watching the front screen content causes the eyes to be uncomfortable by constantly adjusting the viewing angle.
During the running of the runner, the webcam is used to capture the image. Detect the moving track of the runner’s face and calculate the periodic frequency.The cycle frequency is used to calculate the drive motor speed of the synchronous motion mechanism,and finally output to the motor controller to control the movement of the synchronous motion mechanism. As the speed of the runner changes, the motor speed is instantly corrected, so that the synchronous motion control mechanism on which the screen is mounted can be synchronized with the movement of the runner on the treadmill, allowing the runner to watch the screen in front of the synchronized motion while running. The content presents a relatively static effect.
摘要 ......................................................................................................................................I
Abstract ............................................................................................................................... II
致謝 ................................................................................................................................... III
目錄 ................................................................................................................................... IV
表目錄 ............................................................................................................................... VI
圖目錄 ............................................................................................................................... VI
第一章 緒論 ..................................................................................................................... 1
1.1 前言 ............................................................................................................... 1
1.2 研究目的與動機 .......................................................................................... 4
1.3 文獻回顧 ...................................................................................................... 6
1.4 本文架構 ...................................................................................................... 8
第二章 基礎理論 ............................................................................................................. 9
2.1 相機校正 ...................................................................................................... 9
2.1.1 相機成像原理 ( Pinhole camera model ) ....................................... 9
2.1.2 外部參數 ( Extrinsic parameters ) ................................................ 10
2.1.3 內部參數 ( Intrinsic parameters ) ................................................. 12
2.1.4 形變參數 ( Distortion coefficients) .............................................. 14
2.2 人臉偵測原理 ............................................................................................ 16
2.3 人臉偵測步驟 ............................................................................................ 18
2.3.1 膚色分割(Color Segmentation) ...................................................... 18
2.3.2 雜訊移除(Noise Filtering) .............................................................. 18
V
2.3.3 區域標定(Region Marker) .............................................................. 19
2.3.4 框選目標物(Object Framing) .................................................................. 19
第三章 實驗器材與架構整合 ....................................................................................... 21
3.1 系統架構 .................................................................................................... 21
3.2 硬體設備 .................................................................................................... 21
3.2.1 移動帄台 ......................................................................................... 21
3.2.2 網路攝影機 ..................................................................................... 24
3.3 軟體設備 .................................................................................................... 25
3.3.1 Visual Studio 2010............................................................................ 25
3.3.2 OpenCV Library ............................................................................... 26
3.4 系統架構整合 ............................................................................................ 27
第四章 實驗方法與結果 ............................................................................................... 28
第五章 結論與未來展望 ............................................................................................... 35
5.1 結論 ............................................................................................................ 35
5.2 未來展望 .................................................................................................... 36
參考文獻 ........................................................................................................................... 37
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https://www.micromo.com/media/wysiwyg/Technical-library/Software/EN_7000.0505
4.PDF
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