DocumentCode :
2335842
Title :
A technique for dynamic background segmentation using a robotic stereo vision head
Author :
Prado, Jose ; Santos, Luis ; Dias, Jorge
Author_Institution :
Dept. of Electr. Eng. & Comput., Univ. of Coimbra, Coimbra, Portugal
fYear :
2009
fDate :
Sept. 27 2009-Oct. 2 2009
Firstpage :
1035
Lastpage :
1040
Abstract :
Human-robot interaction approaches like face detection, face recognition, pedestrian detection are widely known in robotics field; however often they lead to performance problems. Additionally, false positive and false negative problems are commonly associated to bad illumination and strong featured images. Moreover background segmentation approaches are frequently used to solve this problem on static camera surveillance. Though all these approaches are unable to effectively deal with the constant background changes that certainly happens when the camera sensor is installed on a mobile robot. Hence, in this work we propose a stereo vision dynamic background segmentation solution to this problem.
Keywords :
cameras; face recognition; human-robot interaction; image segmentation; mobile robots; object detection; robot vision; stereo image processing; surveillance; bad illumination; camera sensor; dynamic background segmentation; face detection; face recognition; false negative problem; false positive problem; human-robot interaction; mobile robot; pedestrian detection; robotic stereo vision head; static camera surveillance; Cameras; Face detection; Face recognition; Head; Human robot interaction; Humanoid robots; Image segmentation; Lighting; Robot vision systems; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on
Conference_Location :
Toyama
ISSN :
1944-9445
Print_ISBN :
978-1-4244-5081-7
Electronic_ISBN :
1944-9445
Type :
conf
DOI :
10.1109/ROMAN.2009.5326303
Filename :
5326303
Link To Document :
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