DocumentCode :
2358943
Title :
Designing a Real Time Artificial Vision System for Human Interaction with an Omnidirectional Mobile Platform
Author :
Salcedo, Carolina Moreno ; Peña, Cesar Augusto ; de Jesus Cerqueira, Jes ; Lima, Antonio Marcus Nogueira
Author_Institution :
Programa de Pos-Grad. em Eng. Eletr., Univ. Fed. da Bahia, Salvador, Brazil
fYear :
2012
fDate :
16-19 Oct. 2012
Firstpage :
21
Lastpage :
26
Abstract :
In this paper we presents preliminary results about the development of an artificial vision system for Human Robot Interaction (HRI) based on methods for recognition of facial features, object detection and tracking. The purpose is to implement a vision system in order to process perceptual information as a result of human-robot social interaction in a hybrid architecture for an omni directional test platform that is currently being developed in the Robotics Laboratory of the UFBA Polytechnic School.
Keywords :
face recognition; feature extraction; human-robot interaction; mobile robots; object detection; object tracking; robot vision; artificial vision system; facial feature recognition; human-robot social interaction; hybrid architecture; object detection; object tracking; omnidirectional mobile test platform; Computer architecture; Face recognition; Humans; Image color analysis; Machine vision; Robot sensing systems; Human Robot Interaction; artificial vision system; hybrid architecture; object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2012 Brazilian
Conference_Location :
Fortaleza
Print_ISBN :
978-1-4673-4650-4
Type :
conf
DOI :
10.1109/SBR-LARS.2012.11
Filename :
6363313
Link To Document :
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