DocumentCode :
2381896
Title :
The command control by hand gesture with Hu and contour sequence moments and probability neural network
Author :
Hwang, Chih-Lyang ; Lee, Hai-Wu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2011
fDate :
9-12 Oct. 2011
Firstpage :
2056
Lastpage :
2061
Abstract :
In this paper, the functional commands based on hand gesture are designed by Hu moments and contour sequence moments, which are invariant to the translation, rotation and scale of a hand gesture. First, the original image with a hand gesture is transformed into the color space of YCrCb. The segmentation of the skin-like objects is obtained by suitable thresholds of Cr and Cb. In sequence, the morphological filtering and the shape selection are employed to obtain various acceptable region-based and contour-based binary images of different hand gestures. Various feature vectors corresponding to different processed hand gestures are applied to train the input weight matrix and layer weight matrix of a probability neural network for classification. Furthermore different lighting conditions for Hu moments and contour sequence moments of eight hand gestures are compared to verify the robustness of the image processing and classification.
Keywords :
gesture recognition; image classification; image colour analysis; image segmentation; matrix algebra; neural nets; Hu moments; color space; command control; contour sequence moments; contour-based binary images; feature vectors; hand gesture; image classification; image processing; input weight matrix; layer weight matrix; morphological filtering; probability neural network; shape selection; skin-like object segmentation; Feature extraction; Image color analysis; Image segmentation; Lighting; Shape; Skin; Classification; Contour sequence moments; Hand gesture; Hu moments; Image processing; Probability neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1062-922X
Print_ISBN :
978-1-4577-0652-3
Type :
conf
DOI :
10.1109/ICSMC.2011.6083975
Filename :
6083975
Link To Document :
بازگشت