Paper Info
Title
Vision-based remote control system by motion detection and open finger counting
Abstract
In this paper, we present a universal remote control system based on computer vision. The method is composed of two stages of detecting visual evidences. Motion and skin color information is utilized to detect waving hands requesting control commands. Upon the request, the camera is controlled to zoom in on local region of the hand. The number of open fingers is counted by the shape analysis on the segmented hand region image. Control command is issued when a predetermined sequence of gesture state transition is produced. Experimental results show that the shape of open fingers exhibits strong features for determining correct gesture states. The use of stable features on consecutive frames yields robust and accurate performance regardless of operating conditions.
Year
DOI
Venue
2009
10.1109/TCE.2009.5373803
IEEE Trans. Consumer Electronics
Keywords
Field
DocType
gesture state transition,computer vision,open finger counting,shape analysis,accurate performance,open finger,correct gesture state,segmented hand region image,local region,motion detection,vision-based remote control system,universal remote control system,control command,motion control,state transition,operant conditioning,shape,skin,gesture recognition,tv,image segmentation,image analysis,control systems,remote control,gesture
Computer vision,Remote control,Finger-counting,Motion detection,Gesture,Computer science,Zoom,Gesture recognition,Image segmentation,Artificial intelligence,Control system
Journal
Volume
Issue
ISSN
55
4
0098-3063
Citations 
PageRank 
References 
23
1.48
10
Authors
2
Name
Order
Citations
PageRank
Dong Hoon Lee12024192.87
Young Soo Park2406.28