DocumentCode :
2192226
Title :
Human Driving Behavior Recognition Based on Hidden Markov Models
Author :
Meng, Xiaoning ; Lee, Ka Keung ; Xu, Yangsheng
Author_Institution :
Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, Hong Kong
fYear :
2006
fDate :
17-20 Dec. 2006
Firstpage :
274
Lastpage :
279
Abstract :
Automobiles are by now indispensable to our personal lives, but the problem of car thefts threatens the automobile security seriously. In this paper we present an intelligent vehicle security system for handling the vehicle theft problem under the framework of modeling dynamic human behaviors. We propose to recognize the drivers through their driving performances and hope this can help reduce the number of car thefts significantly. Firstly we describe our experimental system-a real time graphic driving simulator-for collecting and modeling human driving behaviors. Using the proposed machine learning method hidden Markov model (HMM), the individual driving behavior model is derived and then we demonstrate the procedure for recognizing different drivers through analyzing the corresponding models. Then we define performance measures for evaluating our resultant learning models using a hidden-Markov-model-(HMM)-based similarity measure, which helps us to derive the similarity of individual behavior and corresponding model. The experimental results of learning algorithms and evaluations are described and finally verify that the proposed method is valid and useful against the vehicle thefts problem.
Keywords :
automobiles; behavioural sciences computing; hidden Markov models; learning (artificial intelligence); security; automobile security; car thefts; dynamic human behaviors; hidden Markov models; human driving behavior recognition; intelligent vehicle security system; machine learning; vehicle theft problem; Automobiles; Graphics; Hidden Markov models; Humans; Intelligent vehicles; Learning systems; Performance evaluation; Real time systems; Security; Vehicle dynamics; Human behavior modeling; Intelligent systems; Machine learning; Vehicle security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2006. ROBIO '06. IEEE International Conference on
Conference_Location :
Kunming
Print_ISBN :
1-4244-0570-X
Electronic_ISBN :
1-4244-0571-8
Type :
conf
DOI :
10.1109/ROBIO.2006.340166
Filename :
4141877
Link To Document :
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