A robust finger tracking method for multimodal wearable computer interfacing

IEEE Transactions on Multimedia

Volumn 8, Issue 5, 2006, Pages 956-972

  Dominguez, Sylvia M ^b   Keaton, Trish ^a,c   Sayed, Ali H ^a,b  

^a IEEE

^b University of California   (United States)

^c Hughes Aircraft Co   (United States)

Author keywords

Finger tracking; Genetic algorithm; Human machine interface; Kalman filter; Robust filtering; State space model; Wearable computing

Indexed keywords

COLOR SEGMENTATION; FINGER TRACKING; PERTURBATION MODEL LEARNING;

GENETIC ALGORITHMS; HUMAN COMPUTER INTERACTION; IMAGE PROCESSING; KALMAN FILTERING; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS; TRACKING (POSITION); WEARABLE COMPUTERS;

USER INTERFACES;

EID: 33749507356     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2006.879872     Document Type: Article

References (25)

1. J. Yang, W. Yang, M. Denecke, and A. Waibel, "Smart sight: A tourist assistant system," Proc. Int. Symposium on Wearable Computers, vol. 1, pp. 73-78, Oct. 1999.
2. T. Brown and R. C. Thomas, "Finger tracking for the digital desk," in Proc. Australasian User Intel face Conf., Canberra, Australia, 2000, vol. 1, pp. 11-16.
3. A. Wu, M. Shah, and N. Da Vitoria Lobo, "A virtual 3D blackboard: 3D finger tracking using a single camera," in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, 2000, pp. 536-543.
4. C. Jennings, "Robust finger tracking with multiple cameras," in Proc. Conf. on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, Corfu, Greece, 1999, pp. 152-160.
5. K. Imagawa, L. Shan, and S. Igi, "Color-based hands tracking system for sign language recognition," in Proc. Conf. Automatic Face and Gesture Recognition, Nara, Japan, 1998, pp. 462-467.
6. F. K. H. Quek, T. Mysliwiec, and M. Zhao, "Finger mouse: A freehand pointing interface," in Proc. Int. Workshop on Automatic Face and Gesture Recognition, Zürich, Switzerland, June 1995, pp. 372-377.
7. X. Zhu, J. Yang, and A. Waibel, "Segmenting hands of arbitrary color," in Proc. Conf. Automatic Face and Gesture Recognition, Grenoble, France, 2000, pp. 446-453.
8. S. M. Dominguez, T. Keaton, and A. H. Sayed, "Comparison of robust estimation and Kalman filtering applied to fingertip tracking in human-machine interfaces," in Proc. Asilomar Conf. Signal, Systems & Computers, Pacific Grove, CA, Nov. 2001, pp. 342-346.
9. S. M. Dominguez, T. Keaton, and A. H. Sayed, "Robust finger tracking for wearable computer interfacing," in Proc. Perceptive User Interfaces, Orlando, FL, Nov. 2001 [Online]. Available: http://www.cs.ucsb.edu/conferences/ PUI/PUIWorkshop/
10. T. Keaton, S. M. Dominguez, and A. H. Sayed, "Snap&Tell™: A Vision-Based Wearable System to Support Web-On-The-World Applications," in Proc. Digital Image Computing - Techniques and Applications (DICTA) Conference, Melbourne, Australia, Jan. 2002, pp. 92-97.
11. T. Keaton, S. M. Dominguez, and A. H. Sayed, "Snap&Tell™: A multimodal wearable computer interface for browsing the environment," in Proc. Int. Symp. Wearable Computers, Seatle, WA, Oct. 2002, pp. 75-82.
12. T. Keaton, S.M. Dominguez, and A. H. Sayed, "Browsing the environment with the Snap&Tell™ wearable computer system," Pers. Ubiquitous Comput. J., vol. 9, no. 6, pp. 343-355, Dec 2005.
13. D. Comaniciu and P. Meer, "Robust analysis of feature space: Color image segmentation," in Proc. Conf. Computer Vision and Pattern Recognition, San Juan, PR, 1997, pp. 750-755.
14. F. Van der Heijden, Image Based Measurement Systems. New York: Wiley, 1994.
15. A. H. Sayed, "A framework for state-space estimation with uncertain models," IEEE Trans. Automat. Contr., vol. 46, no. 7, pp. 998-1013, Jul. 2001.
16. R. K. Mehra, "On the identification of variances and adaptive Kalman filtering," IEEE Trans. Automat. Contr., vol. AC-15, pp. 175-183, 1970.
17. T. Kailath, A. H. Sayed, and B. Hassibi, Linear Estimation. Upper Saddle River, NJ: Prentice-Hall, 2000.
18. A. H. Sayed, Fundamentals of Adaptive Filtering. Hoboken, NJ: Wiley, 2003.
19. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. New York: Wiley-Interscience, 2001.
20. V. Colin de Verdiere and J. L. Crowley, "Visual recognition using local appearance," in Proc. Eur. Conf. Computer Vision, Frieburg, Germany, 1998.
21. H. Schneiderman and T. Kanade, "Probabilistic modeling of local appearance and spatial relationships for object recognition," in Proc. Conf. Computer Vision and Pattern Recognition, Santa Barbara, CA, 1998, pp. 45-51.
22. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," Proc. Roy. Statist. Soc., vol. B39, pp. 1-38, 1977.
23. Z. Ghahramani and G. E. Hinton, The EM algorithm for mixtures of factor analyzers Univ. Toronto, Toronto, ON, Canada, Tech. Rep. CRG-TR-96-1, 1996.
24. T. Keaton and R. Goodman, "A compression framework for content analysis," in Proc. Workshop on Content-based Access of Image and Video Libraries, Fort Collins, CO, June 1999, pp. 68-73.
25. C. Tomasi and T. Kanade, Detection and tracking of point features Carnegie Mellon Univ., Pittsburgh, PA, Tech. Rep. CMU-CS-91-132, Apr. 1991.