연구동향 분석
박사

단안 RGB 카메라를 이용한 실시간 손 추적 : Real-time Hand Tracking Using a Monocular RGB Camera

최준영 2015년

논문상세정보
인용/피인용
' 단안 RGB 카메라를 이용한 실시간 손 추적 : Real-time Hand Tracking Using a Monocular RGB Camera' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 3d model-based tracking
  • feature-based tracking
  • hand tracking
  • hand-based mobile interface
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
15 0

0.0%

' 단안 RGB 카메라를 이용한 실시간 손 추적 : Real-time Hand Tracking Using a Monocular RGB Camera' 의 참고문헌

  • Z. Zhao and A. Elgammal, “Spatiotemporal pyramid representation for recognition of facial expressions and hand gestures,” Proceedings of IEEE International Conference on Automatic Face & Gesture Recognition (FG), pp. 1-6, 2008.
  • Y.-H. Baek, J. Choi, and J.-I. Park, “Tabletop Human-Object Interaction using Depth Layering,” Proceedings of International Conference on 3D Systems and Applications (3DSA), 2014.
  • Y. Suh, C. Shin, and W. Woo, “A mobile phone guide: spatial, personal, and social experience for cultural heritage,” IEEE Transaction on Consumer Electronics (TCE), vol. 55, no. 4, pp. 2356-2364, 2009.
  • Y. Chen and K. Tseng, “Developing a multiple-angle hand gesture recognition system for human machine interactions,” Proceedings of Conference of the IEEE Industrial Electronics Society (IECON), pp. 489- 492, 2007.
  • T. Miyaki and J. Rekimoto, “GraspZoom: zooming and scrolling control model for single-handed mobile interaction,” Proceedings of International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2009.
  • T. Lee and T. H llerer, “Handy AR: markerless inspection of augmented reality objects using fingertip tracking,” Proceedings of IEEE International Symposium on Wearable Computers (ISWC), pp. 83-90, 2007.
  • T. K. Ho, “Random Decision Forest,” Proceedings of IEEE International Conference on Document Analysis and Recognition (ICDAR), vol. 1, pp. 278-282, 1995.
  • T. Ha, S. Feiner, and W. Woo, “WeARHand: Head-Worn, RGB-D Camera- Based, Bare-Hand User Interface with Visually Enhanced Depth Perception,” Proceedings of IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 219-228, 2014.
  • T. Drummond and R. Cipolla, “Real-time visual tracking of complex structures,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 24, no. 7, pp. 932-946, 2002.
  • S. Sridhar, A. Oulasvirta, and C. Theobalt, “Interactive markerless articulated hand motion tracking using RGB and depth data,” Proceedings of IEEE International Conference on Computer Vision (ICCV), pp. 2456- 2463, 2013.
  • R. Y. Wang and J. Popovi?, “Real-time hand-tracking with a color glove,” ACM Transactions on Graphics (TOG), vol. 28, no. 3, 2009.
  • P. Mistry and P. Maes, “SixthSense: a wearable gestural interface,” Proceedings of ACM SIGGRAPH ASIA 2009 Sketches, 2009.
  • OpenMP Fortran Application Program Interface, http://www.openmp.org/.
  • O. Gallo, S. M. Arteaga, and J. E. Davis, “Camera-based pointing interface for mobile devices,” Proceedings of IEEE International Conference on Image Processing (ICIP), pp. 1420-1423, 2008.
  • M. W. Krueger, Artificial Reality, 2nd ed., Addison-Wesley, Redwood City, California, 1991.
  • M. J. Jones and J. M. Rehg, “Statistical color models with application to skin detection,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 274-280, 1999.
  • M. Clerc and J. Kennedy, “The particle swarm?explosion, stability, and convergence in a multidimensional complex space,” IEEE Transactions on Evolutionary Computation (TEVC), vol. 6, no. 1, pp. 58-73, 2002.
  • Leap Motion Controller. Online]. Available: https://www.leapmotion.com/.
  • Kinect for Windows. Online]. Available: http://www.microsoft.com/enus/ kinectforwindows/.
  • K. Li, I.-M. Chen, S. H. Yeo, and C. K. Lim, “Development of finger-motion capturing device based on optical linear encoder,” Journal of Rehabilitation Research & Development (JRRD), vol. 48, no. 1, pp. 69-82, 2011.
  • J.-H. Kim, N. D. Thang, and T.-S. Kim, “3-D hand motion tracking and gesture recognition using a data glove,” Proceedings of IEEE International Symposium on Industrial Electronics (ISIE), pp. 1013-1018, 2009.
  • J. Choi, J. Park, H. Park, and J.-I. Park, “iHand: An Interactive Bare-Hand- Based Augmented Reality Interface on Commercial Mobile Phones,” Optical Engineering (OE), vol. 52, no.2, 027206, 2013.
  • J. Choi, H. Park, and J.-I. Park, “Hand Shape Recognition Using Distance Transform and Shape Decomposition,” Proceedings of IEEE International Conference on Image Processing (ICIP), 2011.
  • J. Choi, B.?K. Seo, D. Lee, H. Park, and J.?I. Park, “RGB-D camera-based hand shape recognition for human-robot interaction,” Proceedings of International Symposium on Robotics (ISR), 2013.
  • J. An and K. Hong, “Finger gesture-based mobile user interface using a rearfacing camera,” Proceedings of IEEE International Conference on Consumer Electronics (ICCE), pp. 303-304, 2011.
  • I. Oikonomidis, N. Kyriazis, and A. A. Argyros, “Efficient model-based 3D tracking of hand articulations using kinect,” Proceedings of British Machine Vision Conference (BMVC), pp. 101.1-101.11, 2011.
  • I. Oikonomidis, N. Kyriazis and A.A. Argyros, “Tracking the articulated motion of two strongly interacting hands”, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1862-1869, 2012.
  • H. Takimoto, S. Yoshimori, Y. Mitsukura, and M. Fukumi, “Classification of hand postures based on 3D vision model for human-robot interaction,” Proceedings of IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 292-297, 2010.
  • H. Liu, W. Liu, and L. J. Latecki, “Convex Shape Decomposition,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 97-104, 2010.
  • Google Glass. Online]. Available: http://www.google.com/glass/.
  • E.-S. Choi, W.-C. Bang, S.-J. Cho, J. Yang, D.-Y. Kim, and S.-R. Kim, “Beatbox music phone: gesture-based interactive mobile phone using a triaxis accelerometer,” Proceedings of IEEE International Conference on Industrial Technology (ICIT), pp. 97-102, 2005.
  • D. Lee, J. Choi, J.-I. Park, and H. Park, “Practical surgical interface using a RGB-D camera,” Proceedings of IEEE International Symposium on Consumer Electronics (ISCE), 2014.
  • D. Lee and Y. Park, “Vision-based remote control system by motion detection and open finger counting,” IEEE Transactions on Consumer Electronics (TCE), vol. 55, no. 4, pp. 2308-2313, 2009.
  • D. Kim, O. Hilliges, S. Izadi, A. Butler, J. Chen, I. Oikonomidis, and P. Olivier, “Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor,” Proceedings of ACM Symposium on User Interface Software and Technology (UIST), pp. 167-176, 2012.
  • D. G. Lowe, "Object recognition from local scale-invariant features," Proceedings of IEEE International Conference on Computer Vision (ICCV), vol. 2, pp. 1150-1157, 1999.
  • C. Xu and L. Cheng, “Efficient hand pose estimation from a single depth image,” Proceedings of IEEE International Conference on Computer Vision (ICCV), pp. 3456-3462, 2013.
  • C. Cao, Y. Sun, R. Li, and L. Chen, “Hand posture recognition via joint feature sparse representation,” Optical Engineering (OE), vol. 50, no. 12, 127210, 2011.
  • B.-K. Seo, J. Choi, J.-H. Han, H. Park, and J.-I. Park, “One-handed interaction with augmented virtual objects on mobile devices,” Proceedings of ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry (VRCAI), 2008.
  • B. Stenger, P. R. S. Mendonc a, and R. Cipolla, “Model based 3D tracking of an articulated hand,” Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 310-315, 2001.
  • B. Stenger, A. Thayananthan, P. H. S. Torr, and R. Cipolla, “Filtering using a tree-based estimator,” Proceedings of IEEE International Conference on Computer Vision (ICCV), vol. 2, pp. 1063-1070, 2003.
  • A. Haro, K. Mori, T. Capin, and S. Wilkinson, “Mobile camera-based user interaction,” Proceedings of International Conference on Computer Vision in Human-Computer Interaction, pp. 79-89, 2005.
  • A. Campbell, T. Choudhury, S. Hu, H. Lu, M. K. Mukerjee, M. Rabbi, and R. D.S. Raizada, “NeuroPhone: brain-mobile phone interface using a wireless EEG headset,” Proceedings of ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds (MobiHeld), pp. 3-8, 2010.