Classification of Hand Movements Using Motion Templates and Geometrical Based Moments

Proceedings of International Conference on Intelligent Sensing and Information Processing, ICISIP 2004

Volumn , Issue , 2004, Pages 299-304

  Kumar, Sanjay ^a   Kumar, Dinesh K ^a   Sharma, Arun ^a   McLachlan, Neil ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

Artificial neural network; Computer vision; Hand gestures classification; Motion based representation

Indexed keywords

BACKPROPAGATION; COMPUTER VISION; IDENTIFICATION (CONTROL SYSTEMS); IMAGE ANALYSIS; MOTION CONTROL; NEURAL NETWORKS; ROBOT APPLICATIONS; VIRTUAL REALITY;

BIOMETRICS; HAND GESTURES CLASSIFICATION; MOTION BASED REPRESETATION; SIGN LANGUAGE RECOGNITION;

HUMAN COMPUTER INTERACTION;

EID: 1942486735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (43)

1. Akita, K., Image sequence analysis of real world human motion. Pattern recognition, 1984. Vol.17 (No.1): p. 73-83.
2. Campbell, L., .A.Bobick. Recognition of human body motion using phase space contraints. in Internation conference on Computer vision. 1995.
3. Hogg, D., Model based vision: a paradigm to se a walking person. Image and vision computing, 1983. Vol1 (No.1).
4. Rehg, J.a.T.K. Model based tracking of self -occluding articulated objects, in International Conference on Computer Vision. 1995.
5. Rohr, R., towards model-based recognition of human movements in image sequences. 1994. Vol.59 (No.1).
6. Baudel, T., Beaudouin-Lafon, M., "Charade: remote control of objects using free hand gestures". CACM, 1993, 1993: p. Pages:28-35.
7. Cipolla, R.O., Y.; Kuno, Y., "Robust structure from motion using motion parallax". Computer Vision, 1993. Proceedings. Fourth International Conference, April 1993: p. Page(s): 374-382.
8. Davis, J.S., M, "Visual gesture recognition". Vision, Image and Signal Processing, IEE Proceedings, April 1994. Volume: 141(Issue: 2): p. Page(s): 101-106.
9. Hinton, S.S.F., "Glove-talk: a neural network interface between a data-glove and a speech synthesiser.". IEEE Trans. on Neural Networks, Jan 1993. vol-4: p. Page(s): 2-8.
10. Quam, D.L., "Gesture recognition with a Data-Glove". Aerospace and Electronics Conference, 1990. NAECON 1990. Proceedings of the IEEE 1990, Jan 1993. vol.2: p. Page(s): 755-760.
11. Sturman, D.J.Z., D., "A survey of glove-based input". IEEE Computer Graphics and Applications, Jan,1994. Volume: 14(Issue: 1): p. Page(s):30-39.
12. Hu, Visual Pattern Recognition By Moment Invariants. IEEE - Pattern Transaction On Information Theory, 1962. 8(2): p. 179-187.
13. A.Pentland, T.E.S.a., "Visual recognition of american sign language using hidden markov models". Proc. IWAFGR'95(Zurich), June 1995: p. Page(s):189-194.
14. J.Schlenzig, E.H., and R.Jain, "Recursive Identification Of Gesture Inputs Using Hidden Markov Model". Proceedings Of the Second IEEE Workshop on Applications of Computer Vision,(Sarasota,FL), December 5-7,1994: p. Page(s):187-194.
15. Bobick, A.D., J.;, "An appearance-based representation of action". Pattern Recognition, 1996. Proceedings of the 13th International Conference, 1996. vol:1: p. Page(s): 307-312.
16. Bobick, A.D., J., "Real-time recognition of activity using temporal templates". Applications of Computer Vision, 1996. WACV '96. Proceedings 3rd IEEE Workshop, 1996: p. Page(s): 39-42.
17. Davis, J. Hierarchical Motion History Images for Recognizing Human Motion, in IEEE Workshop on Detection and Recognition of Videos. 2001. Vancouver, Canada.
18. Aaron F. Bobick, J.W.D., The Recognition Of Human Movements Using Temporal Templates. IEEE - Pattern Analysis and Machine Intelligence, 2001. 23 No 3: p. 257-267.
19. Davis, J. Representing and Recognizing Human Motion: From Motion Templates to Movement Categories, in Digital Human Modeling Workshop, International Conference on Intelligent Robots and Systems. 2001. Maui, Hawai.
20. Rosales, R.S., S., "3D trajectory recovery for tracking multiple objects and trajectory guided recognition of actions". Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference, 1999. Vol. 2.
21. Sanjay Kumar, Arun Sharma.,Dinesh Kant Kumar,Neil McLachlan(24- 27June2002). Classification of Visual Hand Gestures Using Difference of Frames. CISST'02, Las Vegas, USA.
22. Sanjay Kumar, A.S., Dinesh K Kumar, Neil McLachalan. Classification Of Visual Hand gestures. In 'ACIVS 2002 'Proceedings Of the International Conference On Advanced Concepts for Intelligent Vision Systems.(9-11 sept 2002). Ghent, Belgium.
23. Arun Sharma, D.K.K., Sanjay Kumar, Neil McLachalan. Representation and Classification of Human Movement Using Temporal Templates and Statistical Measure of Similarity. in WITSP'2002 Workshop On Internet Telecommunications and Signal Processing. 2002. Wollongong, Sydney, Australia.
24. Essa, I.a.A.P. Facial expression recognition using a dynamic model of motion energy. in Internation Conference on Computer Vision. June 1995.
25. Little J, a.J.B. Describing motion for recognition, in International Symposium on Computer Vision. Nov. 1995.
26. Y.Yacoob, M.B.a., "Tracking and recognizing rigid and non-rigid Facial Motion Using local Parametric Models of Image Motion". ICCV, 1995.
27. Yacoob, Y.a.L.D. Computing spatio-temporal representations of human faces, in proc. Computer Vision and Pattern Recognition. 1994.
28. Shavit, E.a.A.J., Motion Understanding using phase portraits. IJCAI:workshop: Looking at people, 1995.
29. R. Polana, R.N., Low Level Recognition of Human Motion. Proc.of IEEE Workshop on Motion of Non-Rigid and Articulated Motion Austin Texas., 1994: p. 77-82.
30. L.Weiss, Geometric Invariants and Object Recognition. International Journal of Computer Vision, 1993. 10: p. 207-231.
31. A.P.Reeves, R.J.P.a., A Survey of moment-based techniques for unoccluded object representation and recognition. CVGIPGraphical Models and Image Processing, 1992. 54: p. 438-460.
32. J.Segen, Controlling Computers with Gloveless Gestures. Proceedings of virtual reality systems, April 1993.
33. S.M.Dunn, K.C.a., Learning Shape Classes. IEEE Transaction on Pattern Analysis and Machine Intelligence, Sept.1994. 16: p. 882-888.
34. J.Weng, Y.C.a., Learning Based hand Sign recognition. Proc. of IWAFGR'95, Zurich, June 1995: p. 201-206.
35. A.Pentland, B.M.a., Maximum Likelihood Detection of Faces And Hands. Proc. of IWAFGR'95, Zurich, June 1995: p. 122-128.
36. Elman, Finding structure in time, in Cognitive Science. 1990. p. 179-211.
37. Haung, K.-Y., "Neural networks for robust recognition of seismic patterns,". IEEE Transactions on Geoscience and Remote Sensing, 2001.
38. A. Freeman and M. Skapura, Neural Networks: Algorithms, Applications, and Programming Techniques, Addison-Wesley, Mass., 1991.
39. Timothy Master, Practical Neural Network Recipes in C++, Academic Press, Boston, 1993.
40. Vallaru Rao and Hayagriva Rao, C++ Neural Networks & Fuzzy Logic, MIS Press, New York, 1995.
41. MATLAB The Language of Technical Computing, Version 6.0.0.88, Release 12, The MathWorks, Inc., 2000.
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