Title :
Accurate and fast hand-forearm segmentation algorithm based on silhouette
Author :
Bosheng Wang ; Jiaqi Xu
Author_Institution :
Multimedia Commun. & Pattern Recognition Labs., Beijing Univ. of Posts & Telecommun., Beijing, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
Segmentation of the hand from an image is a necessary step for many applications e.g. hand tracking, gesture recognition. One of the major problems is the hand-forearm segmentation. We propose mathematic model based on geometrical features of silhouette shape to address this problem. Then an accurate and effective approximation algorithm is proposed to obtain the solution of the model. Finally a complete hand segmentation algorithm is realized by using the Kinect sensor. The experiment result proves that our algorithm is accurate and fast.
Keywords :
approximation theory; feature extraction; image segmentation; image sensors; Kinect sensor; approximation algorithm; complete hand segmentation algorithm; geometrical features; gesture recognition; hand tracking; hand-forearm segmentation algorithm; image segmentation; silhouette shape; Approximation algorithms; Gesture recognition; Image segmentation; Mathematical model; Three-dimensional displays; Wrist; Approximation algorithm; Geometrical features; Hand-forearm segmentation; Mathematic model;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664322