基於立體視覺之手掌位移辨識系統

Palm Motion Detection System Based on Stereo Vision

張量鈞(Liang – Chun Chang)

指導教授 ： 謝景棠

淡江大學/工學院/電機工程學系碩士班/碩士(2010年)

https://doi.org/10.6846/TKU.2010.00788

摘要

人機互動的系統不斷在進化中，由早期的打空單點輸入、鍵盤一維輸入、滑鼠的二維輸入。直到現在鍵盤與滑鼠依然是人機互動工具中最常見的工具之一。近年來人機互動輸入介面又有跳躍性的發展，例如觸控及“體感”。尤其是體感，他將人機介面帶入三維的輸入。但是現在還只能用於特定的介面上，例如遊戲機。因此我們希望能將系統建立在與人生活相關的電腦上。本系統利用深度資訊與Camshift追蹤演算法的結合，以擷取最前面的手部資訊，並判斷手的位移，進而控制電腦的軟體。

關鍵字

深度資訊 ； Camshift演算法

並列摘要

The HCI(Human–Computer Interaction) system has been advanced continually. Until now, keyboards and mouse are the most common tools for HCI. HCI system has been greatly developed in recent years, such as touch and “motion sensing”. Especially in motion sensing, it brings three-dimensional input into HCI interface which is only used in specific interface, such as video game players. Therefore, we hope the system can be build on computers which are closely related to our life. The system takes advantage in combining stereo vision method and Camshift Algorithm, captures the front information of hands and distinguish movements of hands to control computers’ software.

並列關鍵字

vision method ； Camshift

參考文獻

[10]陳佳源，結合平移距離與傅立葉特徵之手勢辨識系統，中原大學資訊工程學系碩士論文，民國九十六年。

[1] G. Xu and Z. Zhang, Epipolar Geometry in Stereo, Motion and Object Recognition,Dordrecht: Kluwer, 1996

[2] O’Reilly ,“Learning OpenCV Computer Vision with the OpenCV Library”

[3] Gonzalez, Woods“Digital Image Processing”.

[6] Heung-Il Suk, Bong-Kee Sin, and Seong-Whan Lee, “Robust Modeling and Recognition of Hand Gestures with Dynamic Bayesian Network”,IEEE International Conference on Pattern Recognition, p.1-4,Dec.2008.