Approach for vehicle traffic flow detection based on support vector machine and hidden Markov recognition model

For the problem of automatic vehicle recognition for traffic flow detection at home and abroad, the recognition method based on Support Vector Machine(SVM) and Hidden Markov Model(HMM) algorithm is proposed through extracting linear prediction coefficient(LPC) characteristic from vehicle acoustic. LPC algorithm is learned from voice technology by common between vehicle acoustic and voice. By contrasting other recognition method, simulation indicates vehicle targets are recognized correctly form acoustic signals and this method is effective in vehicle target recognition.