Paper Info
Title
Realtime Hand Posture Estimation with Self-Organizing Map for Stable Robot Control
Abstract
The hand posture estimation system by searching a similar image from a vast database, such as our previous research, may cause the increase of processing time, and prevent realtime controlling of a robot. In this study, the authors proposed a new estimation method of human hand posture by rearranging a large-scale database with the Self-Organizing Map including self-reproduction and self-annihilation, which enables two-step searches of similar image with short period of processing time, within small errors, and without deviation of search time. The experimental results showed that our system exhibited good performance with high accuracy within processing time above 50 fps for each image input with a 2.8 GHz CPU PC.
Year
DOI
Venue
2006
10.1093/ietisy/e89-d.6.1813
IEICE Transactions
Keywords
Field
DocType
ghz cpu pc,similar image,vast database,processing time,new estimation method,stable robot control,search time,realtime hand posture estimation,hand posture estimation system,large-scale database,image input,self-organizing map,human hand posture,self organizing map,robot control
Computer vision,Robot control,Computer science,Self-organization,Image retrieval,Self-organizing map,Artificial intelligence,Robot,Robotics
Journal
Volume
Issue
ISSN
E89-D
6
1745-1361
Citations 
PageRank 
References 
9
1.12
0
Authors
2
Name
Order
Citations
PageRank
Kiyoshi Hoshino16122.33
Takanobu Tanimoto2234.64