DocumentCode :
1847609
Title :
A vision based robot navigation and human tracking for social robotics
Author :
Capi, Genci ; Toda, Hideki ; Nagasaki, Takuya
Author_Institution :
Univ. of Toyama, Toyama, Japan
fYear :
2010
fDate :
15-16 Oct. 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we introduce a new vision based method for robot navigation and human tracking. For robot navigation, we convert the captured image in a binary one, which after the partition is used as the input of the neural controller. The neural control system, which maps the visual information to motor commands, is evolved online using real robots. For human tracking, after face detection, the color of human´s clothing is extracted. Then the robot starts tracking the human in the environment. The performance of proposed method is evaluated using the TateRob mobile robot. The experimental results and analysis are presented.
Keywords :
face recognition; feature extraction; image colour analysis; mobile robots; neurocontrollers; object tracking; path planning; robot vision; service robots; TateRob mobile robot; binary image; face detection; human tracking; image color; neural control system; social robotics; vision based robot navigation; visual information map; Clothing; Humans; Navigation; Robot sensing systems; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2010 IEEE International Workshop on
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4244-7147-8
Type :
conf
DOI :
10.1109/ROSE.2010.5675255
Filename :
5675255
Link To Document :
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