Abstract
This paper presents an integrated algorithm of YCbCr-Nrg, Double Color-Spatial Model and Background Model to resolve the problem that single skin-color model is obstructed by near kin color. This segmentation method is realized by the fusion of muti-feature. Based on the good describing ability of Fourier Descriptors algorithm and the good self-learning ability of BP neural network, an improved algorithm of hand recognition is presented and carried out. Results show that this algorithm is robustness for hand gesture recognition under intricate background.
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
Preview
Unable to display preview. Download preview PDF.
References
Zhu, Y.X., Xu, G.Y., David, J.S.: A real-time approach to the spotting, representation, and recognition of hand gestures for human–computer interaction. Computer Vision and Image Understanding 85, 189–208 (2002)
Attila, L., Tamas, S.S.: User-adaptive hand gesture recognition system with interactive training. Image and Vision Computing 23, 1102–1114 (2005)
Ren, H.B., Zhu, Y.X., Xu, G.S.: Hand gesture segmentation and recognition with complex backgrounds. Acta Automatica Sinica 10, 256–261 (2002)
Kaustubh, S.P., Sumantra, D.R.S.: Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker. Pattern Recognition Letters 28, 329–334 (2007)
Chen, D.S., Liu, Z.K.S.: A survey of skin color detection. Chinese Journal of Computers 24, 65–69 (2006)
Phung, S.L., Bouzerdoum, A., Chai, D.S.: Skin segmentation using color pixel classification: analysis and comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 148–154 (2005)
Bradski, G., Boon, Y., Minerva, M.S.: Gesture for video content navigation. In: SPIE IS&T/ SPIE Conf., vol. 36, pp. 230–242 (1999)
Starner, T., Weaver, J.S.: Real-time American sign language recognition using desk and wearable computer based video. IEEE Transactions Pattern Analysis and Machine Intelligence 20, 1371–1375 (1998)
Zhang, L.G., Wu, J.Q., Gao, W.S.: Hand Gesture Recognition Based on Hausdorff Distance. Journal of Image and Graphics 8, 56–57 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, S., Tan, W., Wen, S., Liu, Y. (2008). An Improved Algorithm of Hand Gesture Recognition under Intricate Background. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_85
Download citation
DOI: https://doi.org/10.1007/978-3-540-88513-9_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88512-2
Online ISBN: 978-3-540-88513-9
eBook Packages: Computer ScienceComputer Science (R0)