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A framework for real time gesture recognition for interactive mobile robots

DSpace at IIT Bombay

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Field Value
 
Title A framework for real time gesture recognition for interactive mobile robots
 
Creator SINGH, RANDEEP
SETH, BHARTENDU
DESAI, UB
 
Subject gesture recognition
image colour analysis
image motion analysis
interactive systems
mobile robots
robot vision
 
Description Interactive mobile robots are an active area of research. The paper presents a framework for designing a real-time vision based hand-body gesture recognition system for such robots. The said framework works in real world lighting conditions, with complex backgrounds, and can handle intermittent motion of the camera. We present a novel way in which the MHI (motion history images) and MEI (motion energy images) are built. The input signal is captured by a singular monocular color camera. Vision is the only feedback sensor used. It is assumed that the gesturer is wearing clothes that are slightly different from the background. The motion and color cues are combined in a robust way. Gestures are first learned offline and then matched to the temporal data generated online in real time. We have tested this on a gesture database consisting of 11 hand-body gestures and have recorded recognition accuracy up to 90%.
 
Publisher IEEE
 
Date 2008-12-11T06:01:21Z
2011-11-28T07:19:00Z
2011-12-15T09:56:58Z
2008-12-11T06:01:21Z
2011-11-28T07:19:00Z
2011-12-15T09:56:58Z
2005
 
Type Article
 
Identifier Proceedings of the IEEE International Symposium on Circuits and Systems, Kobe, Japan, 23-26 May 2005, 3207-3210
0-7803-8834-8
10.1109/ISCAS.2005.1465310
http://hdl.handle.net/10054/290
http://dspace.library.iitb.ac.in/xmlui/handle/10054/290
 
Language en