ABSTRACT
Hidden Markov Model is developed on the basis of the Markov chain and became a widely used statistical models, the classic theory put forward by the Baum et al, It was firstly applied to speech recognition systems, and had become the most successful way in the voice recognition system after years of development, HMM is widely used in computer Science Electrical Engineering information Sciences, Computational Mathematics, Statistics and other fields, it has become an important tool in the field of the voice recognition gene identification crypt analysis target tracking image processing and in the field of signal processing (Wang Xinmin 2003)
In foreign countries,Alex P. Pentland applied HMM to the driver’s behavior and intention recognition applications, and its forecast rate reached over 95%. Gautam B. Singh (2009) used HMM model to study the vehicle collision prediction methods, and the predication proved that this method has a good timeliness to prevent collisions. In China, Yin Ming (2007) proposed a congestion detection algorithm based on HMM, this algorithm has a good ability to predict and detect a sequence of images of the vehicle blocking the vehicle; Wu Zhou (2013) extracted seven features of state insurance driving factors from the bus driver’s driving state insurance behavior, which was combined with a hidden Markov statistical model, used to drive hazard identification study of behavior. Lu An
(2010) shored combined with Gaussian mixture hidden Markov model (GM-HMM), carried identification of highway overtaking phenomenon and the analysis of the driver’s intentions and overtake phenomenon normality, results showed that this method could effectively identify a variety of driving conditions in normal overtaking phenomenon.
