DocumentCode :
1216110
Title :
iBotGuard: an Internet-based Intelligent Robot security system using Invariant Face Recognition against intruder
Author :
Liu, James N K ; Wang, Meng ; Feng, Bo
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., China
Volume :
35
Issue :
1
fYear :
2005
Firstpage :
97
Lastpage :
105
Abstract :
One crucial application of intelligent robotic systems is remote surveillance using a security robot. A fundamental need in security is the ability to automatically verify an intruder into a secure or restricted area, to alert remote security personnel, and then to enable them to track the intruder. In this article, we propose an Internet-based security robot system. The face recognition approach possesses "invariant" recognition characteristics, including face recognition where facial expressions, viewing perspectives, three-dimensional poses, individual appearance, and lighting vary and occluding structures are present. The experiment uses a 33.6-kb/s modem Internet connection to successfully remotely control a mobile robot, proving that the streaming technology-based approach greatly improves the "sensibility" of robot teleoperation. This improvement ensures that security personnel can effectively and at low cost use the Internet to remotely control a mobile robot to track and identify a potential intruder.
Keywords :
Internet; face recognition; intelligent robots; mobile robots; remotely operated vehicles; security of data; surveillance; telerobotics; Internet-based intelligent robot security system; face recognition approach; invariant face recognition; mobile robot; remote surveillance; Face recognition; Intelligent robots; Intelligent systems; Internet; Mobile robots; Personnel; Robot control; Robotics and automation; Security; Surveillance; Face recognition; Internet-based system; remote surveillance; security robot; streaming technology;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2004.840051
Filename :
1386457
Link To Document :
بازگشت