Depth silhouettes for gesture recognition

Pattern Recognition Letters

Volumn 29, Issue 3, 2008, Pages 319-329

  Muñoz Salinas, Rafael ^a   Medina Carnicer, R ^a   Madrid Cuevas, F J ^a   Carmona Poyato, A ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Depth information; Gesture recognition; HMM; Motion templates; Silhouettes; SVM

Indexed keywords

HIDDEN MARKOV MODELS; INFORMATION RETRIEVAL; MOTION ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

DEPTH INFORMATION; MOTION TEMPLATES; SILHOUETTES;

GESTURE RECOGNITION;

EID: 37049029197     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.10.011     Document Type: Article

References (28)

1. Agarwal A., and Triggs B. Recovering 3d human pose from monocular images. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2006) 44-58
2. Bobick A.F., and Davis J.W. The recognition of human movement using temporal templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (2001) 257-267
3. Brown M.Z., Burschka D., and Hager G.D. Advances in computational stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (2003) 993-1008
4. Chen FS., Fu CM., and Huang CL. Hand gesture recognition using a real-time tracking method and Hidden Markov Models. Image and Vision Computing 21 (2003) 745-758
5. Fukunaga K. Introduction to Statistical Pattern Recognition (1990), Academic Press
6. Grest D., Woetzel J., and Koch R. Nonlinear body pose estimation from depth images. Lecture Notes in Computer Science 3663 (2005) 285-292
7. Howe N.R. Silhouette lookup for monocular 3d pose tracking. Image and Vision Computing 25 (2007) 331-341
8. Izo T., Eric W., and Grimson L. Simultaneous pose recovery and camera registration from multiple views of a walking person. Image and Vision Computing 25 (2007) 342-351
9. Jelinek F. Continuous speech recognition by statistical methods. Proceedings of the IEEE 64 (1976) 532-536
10. Kale A., Sundaresan A., Rajagopalan A., Cuntoor N., RoyChowdhury A., Kruger V., and Chellappa R. Identification of humans using gait. IEEE Transactions on Image Processing 13 (2004) 1163-1173
11. Kang H., Lee C.W., and Jung K. Recognition-based gesture spotting in video games. Pattern Recognition Letters 25 (2004) 1701-1714
12. Knerr S., Personnaz L., and Dreyfus G. Single-layer learning revisited: A stepwise procedure for building and training a neural network. Neurocomputing: Algorithms, Architectures and Applications. NATO ASI Series (1990), Springer-Verlag
13. Lam T.H.W., Lee R.S.T., and Zhang D. Human gait recognition by the fusion of motion and static spatio-temporal templates. Pattern Recognition 40 (2007) 2563-2573
14. Liu Z., and Sarkar S. Effect of silhouette quality on hard problems in gait recognition. IEEE Transactions on Systems, Man and Cybernetics, Part B 35 (2005) 170-183
15. Liu Z., and Sarkar S. Outdoor recognition at a distance by fusing gait and face. Image and Vision Computing 25 (2007) 817-832
16. Luck J., Small D., and Little C.Q. Real-time tracking of articulated human models using a 3d shape-from-silhouette method. Lecture Notes in Computer Science 1998 (2001) 19-26
17. Muñoz-Salinas R., Aguirre E., and García-Silvente M. People detection and tracking using stereo vision and color. Image and Vision Computing 25 (2007) 995-1007
18. Nam Y., and Wohn K. Recognition of hand gestures with 3d, nonlinear arm movement. Pattern Recognition Letters 18 (1997) 105-113
19. Nickel K., and Stiefelhagen R. Visual recognition of pointing gestures for human-robot interaction. Image and Vision Computing 25 (2007) 1875-1884
20. Patwardhan K.S., and Roy S.D. Hand gesture modelling and recognition involving changing shapes and trajectories, using a predictive eigentracker. Pattern Recognition Letters 28 (2007) 329-334
21. Rabiner L.R. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE 77 (1989) 257-285
22. Sha C., Tan T., and Wei Y. Real-time hand tracking using a mean shift embedded particle filter. Pattern Recognition 40 (2007) 1958-1970
23. Vapnik V. The Nature of Statistical Learning Theory (1995), Springer-Verlag
24. Weik S., and Liedtke C.-E. Hierarchical 3d pose estimation for articulated human body models from a sequence of volume data. Lecture Notes in Computer Science 19 (2001) 27-34
25. Weinland D., Ronfard R., and Boyer E. Free viewpoint action recognition using motion history volumes. Computer Vision and Image Understanding 104 (2006) 249-257
26. Yamato, J., Ohya, J., Ishii, K., 1992. Recognizing human action in time-sequential images using Hidden Markov Model. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition 8CVPR'92, pp. 379-385.
27. Yang, H.-D., Lee, S.-W., 2007. Reconstruction of 3d human body pose from stereo image sequences based on top-down learning. Pattern Recognition (In corrected proof), 2007.
28. Yang H.-S., Kim J.-M., and Park S.-K. Three dimensional gesture recognition using modified matching algorithm. Lecture Notes in Computer Science 3611 (2005) 224-233