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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30458
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dc.contributor.advisor洪一平(Yi-Ping Hung)
dc.contributor.authorYu-Hsin Changen
dc.contributor.author張譽馨zh_TW
dc.date.accessioned2021-06-13T02:04:19Z-
dc.date.available2008-07-16
dc.date.copyright2007-07-16
dc.date.issued2007
dc.date.submitted2007-07-03
dc.identifier.citation[1] J. Arvo and K. Novins, “Fluid sketches: continuous recognition and morphing of simple hand-drawn shapes,” Proceedings of the ACM Symposium on User Interface Software and Technology, pp. 73–80, 2000.
[2] A. Azarbayejani and A. Pentland, “Real-time self-calibrating stereo person tracking using 3-d shape estimation from blob features,” Pattern Recognition, Proceedings of the 13th International Conference on, vol. 3, pp. 627–632, 1996.
[3] M. Brand, N. Oliver, and A. Pentland, “Coupled hidden markov models for complex action recognition,” Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 994–999, 1997.
[4] D. Comaniciu, V. Ramesh, and P. Meer, “Real-time tracking of non-rigid objects using mean shift,” Computer Vision and Pattern Recognition, Proceedings. IEEE Conference, vol. 2, pp. 142–149, 2000.
[5] L. B. D and K. T, “An iterative image registration technique with an application to stereo vision,” Proceedings of Imaging understanding workshop, pp. 121–130, 1981.
[6] W. T. Freeman and C. D. Weissman, “Television control by hand gestures,” IEEE Intl. Wkshp. on Automatic Face and Gesture Recognition, pp. 179–183, 1995.
[7] E. W. Huang and L. C. Fu, “Real-time arm tracking system using example-based matching and local optimization,” IEEE International Conference on Systems, Man and Cybernetics, 2006.
[8] M. Isard and A. Blake, “Condensation conditional density propagation for visual tracking,” International Journal of Computer Vision, vol. 1, pp. 5–28, 1998.
[9] I. Laptev and T. Lindeberg, “Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features,” Proceedings of the Third
International Conference on Scale-Space and Morphology in Computer Vision, pp.63–74, 2001.
[10] R. Lienhart and J. Maydt, “An extended set of haar-like features for rapid object detection,” IEEE International Conference on Image Processing, vol. 1, pp. 900–903, 2002.
[11] K. Lorincz and M. Welsh, “Motetrack: A robust, decentralized approach to rf-based location tracking,” In Proceedings of the International Workshop on Location and
Context-Awareness, 2005.
[12] J. B. MacQueen, “Some methods for classification and analysis of multivariate observations,” Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and
Probability, vol. 1, pp. 281–297, 1967.
[13] T. Moscovich and J. F. Hughes, “Navigating documents with the virtual scroll ring,”Proceedings of the 17th annual ACM symposium on User interface software and technology, pp. 57–60, 2004.
[14] K. Oka, Y. Sato, and H. Koike, “Real-time tracking of multiple fingertips and gesture recognition for augmented desk interface systems,” IEEE Computer Graphics and Applications, vol. 22, pp. 64–71, 2002.
[15] M. C. schraefel, G. Smith, and P. Baudisch, “Curve dial: eyes-free parameter entry for guis,” CHI extended abstracts on Human factors in computing systems, pp. 1146–
1147, 2005.
[16] G. Smith and M. C. schraefel, “The radial scroll tool: scrolling support for stylus- or touch-based document navigation,” Proceedings of the 17th annual ACM symposium
on User interface software and technology, pp. 53–56, 2004.
[17] C. Stauffer and W. Grimson, “Adaptive background mixture models for real-time tracking,” Computer Vision and Pattern Recognition, IEEE Computer Society Conference
, vol. 2, pp. 246–252, 1999.
[18] V. Vezhnevets, V. Sazonov, and A. Andreeva, “A survey on pixel-based skin color detection techniques,” Proc. Graphicon, pp. 85–92, 2003.
[19] S. B. Wang, A. Quattoni, L.-P. Morency, D. Demirdjian, and T. Darrell, “Hidden conditional random fields for gesture recognition,” Computer Vision and Pattern Recognition, IEEE Computer Society Conference, vol. 2, pp. 1521–1527, 2006.
[20] E. Wherry, “Scroll ring performance evaluation,” CHI extended abstracts on Human factors in computing systems, pp. 758–759, 2003.
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[22] M.-H. Yang and N. Ahuja, “Gaussian mixture model for human skin color and its application in image and video databases,” Proc. of the SPIE: Conf. on Storage and
Retrieval for Image and Video Databases, vol. 3656, pp. 458–466, 1999.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30458-
dc.description.abstract近年來遠端遙控數位媒體內容已在互動式遊戲及數位家庭應用成為重要課題。在本篇論文中,我們提出一種新的使用者介面,讓使用者在空中用單手做畫圓的動作,就可以控制呈現在遠方之顯示器的條列式選單,近而達到控制數位內容的目的。在此設計中,使用者無須使用任何實體裝置,而是用一些簡單的動作就可以達成所有的工作。根據此原則,我們發展出一套基於視覺方法而偵測使用者手掌位置和其移動軌跡的系統。我們使用場景中物體的深度、移動情形與形狀來判斷使用者手掌的位置,接著再利用粒子濾波器持續追蹤使用者的手掌。接著我們再分析手掌的軌跡來決定是否有一些合法的動作發生,且此系統能夠對於不同的手勢動作即時回應。經過實驗證實,本篇論文所提出的方法能夠在有許多干擾的環境中運作良好。zh_TW
dc.description.abstractRecent years remote control of media content has become an important issue in interactive games or digital home application. In this thesis we introduce a new type of user interface which allows user to control the media via a list menu shown on a distant display by simply drawing circles in the air with one hand. Instead of using a physical device such as a hand-held remote control, user simply performs some predefined motion to accomplish all tasks. Based on this design, we develop a vision-based system to detect user's palm and its motion trajectory. Depth, motion and shape are adopted to estimate the location of a palm before a particle filter is used to track the target continuously. Then, we analyze the trajectory of the palm to determine if there is a legal motion occurs. This system can respond to user’s gesture in real-time. Experimental results confirm that it is quite robust to interferences existed in the environment.en
dc.description.provenanceMade available in DSpace on 2021-06-13T02:04:19Z (GMT). No. of bitstreams: 1
ntu-96-R94922016-1.pdf: 2375479 bytes, checksum: eb23f9596d721ef099eaa0a3ca5a63ab (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents1 Introduction 1
2 Related Work 4
2.1 Interface with Circular Motions of Hand and Finger 4
2.2 Vision-based Gesture Recognition System 7
3 System Overview 10
4 Palm Detection and Tracking 12
4.1 Detection for Region of Interest 12
4.2 Tracking by Particle Filtering 18
5 Motion Analysis 24
5.1 Detection of Circular Motion 24
5.2 Detection of Push Motion 27
6 Experiments and User Study 29
6.1 Experiments 29
6.2 User Study 39
7 Conclusion and Future Work 42
7.1 Conclusion 42
7.2 Future Work 43
Bibliography 44
dc.language.isoen
dc.subject手勢辨識zh_TW
dc.subject遠端控制zh_TW
dc.subject選擇方法zh_TW
dc.subject人機介面zh_TW
dc.subjectRemote controlen
dc.subjectSelection techniqueen
dc.subjectHuman computer interactionen
dc.subjectGesture recognitionen
dc.title遙控條列式選單之手勢辨識系統zh_TW
dc.titleA Gesture Recognition System for Remote Control with List Menuen
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.coadvisor李明穗(Ming-Sui Lee)
dc.contributor.oralexamcommittee吳家麟,陳玲玲,朱浩華
dc.subject.keyword遠端控制,選擇方法,人機介面,手勢辨識,zh_TW
dc.subject.keywordRemote control,Selection technique,Human computer interaction,Gesture recognition,en
dc.relation.page46
dc.rights.note有償授權
dc.date.accepted2007-07-04
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
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