Abstract
Recently, research into computer, vision-based methods to recognize gestures are widely conducted as means to communicate the volition of humans to a computer. The most important problem of gesture recognition is a reduction in the simplification treatment time for algorithms by means of real-time treatment. In order to resolve this problem, this research applies mathematical morphology, which is based on geometric set theory. The orientations for the primitive shape elements of hand signal shapes acquired from the application of morphological shape analysis include important information on hand signals. Utilizing such a characteristic, this research is aimed at suggesting a feature vector-based, morphological gesture recognition algorithm from a straight line which connects central dots of major primitive shape elements and minor primitive shape elements. It will also demonstrate the usefulness of the algorithm by means of experimentation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pavlovic VI, Sharma R, Huang TS (1997) Visual interpretation of hand gestures for human-computer interaction: a review. IEEE Trans. PAMI 19(7):677–695
Ahmad T, Taylor CJ, Lanitis A, Cootes TF (1997) Tracking and recognising hand gestures, using statistical shape models. Image Vis Comput 15:345–352, Elsevier
Wilson AD, Bobick AF (1999) Parametric hidden markov models for gesture recognition. IEEE Trans PAMI 21(9):884–900
Serra J (1986) Introduction to mathematical morphology. Comput Vis Graph Image Process 35(3):283–305
Serra J (1982) Image analysis and mathematical morphology. Academic Press, New York
Maragos P (1989) A representation theory for morphological image and signal processing. IEEE Trans Pattern Anal Mach Intell 11(6):586–599
Pitas I, Venesanopoulos AN (1990) Morphological shape decomposition. IEEE Trans Pattern Anal Mach Intell 12(1):38–45
Pitas I, Venetsanopoulos AN (1992) Morphological shape representation, Pattern Recog 25(6):555–565
Acknowledgments
Funding of this paper was provided by Namseoul University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht(Outside the USA)
About this paper
Cite this paper
Kim, TE. (2013). Gesture Recognition Algorithm using Morphological Analysis. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_119
Download citation
DOI: https://doi.org/10.1007/978-94-007-6738-6_119
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6737-9
Online ISBN: 978-94-007-6738-6
eBook Packages: EngineeringEngineering (R0)