Paper Info
Title
A gesture recognition system with retina-V1 model and one-pass dynamic programming.
Abstract
Dynamic Programming (DP) algorithm has been studied from 1940s and successfully applied to pattern recognition fields such as continuous speech recognition, hand writing recognition, gesture recognition and so on. In this paper, we propose a novel hand gesture recognition system which includes three kinds of image processing: skin area segmentation, motion estimation by a retina-V1 model, and a gesture discrimination algorithm of One-Pass Dynamic Programming (One-Pass DP). A HSV-RGB filter is used to extract skin area in the color image, and the simple motion of hand area is estimated in eight directions by a retina-V1 model which is a computational model of primary visual cortex. Then the motions are used to compose 40 basic templates of gestures. In other words, hand gestures are considered as combinations of templates of simple motions, and One-Pass DP is used to recognize the pattern of gestures. Experiments dealt with individual and compound gestures were executed by online processing, and the results confirmed the effectiveness of the proposed system.
Year
DOI
Venue
2013
10.1016/j.neucom.2012.03.027
Neurocomputing
Keywords
Field
DocType
One-Pass DP,Gesture recognition,Skin color analysis,Motion estimation
Bayer filter,HSL and HSV,Computer vision,Pattern recognition,Segmentation,Computer science,Gesture,Gesture recognition,Image processing,Artificial intelligence,Motion estimation,Color image
Journal
Volume
ISSN
Citations 
116
0925-2312
4
PageRank 
References 
Authors
0.40
16
6
Name
Order
Citations
PageRank
Takashi Kuremoto119627.73
Yasuhiro Kinoshita250.77
Liang-Bing Feng3111.66
Shun Watanabe451.11
Kunikazu Kobayashi517321.96
Masanao Obayashi619826.10