Multi-classifier system for moving vehicles classification based on spectral bands energy
Norasmadi, Abdul Rahim
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Adom, Abdul Hamid, Prof. Dr.
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Profoundly hearing impaired community cannot moderate wisely an acoustic noise emanated from moving vehicle in outdoor. They are not able to distinguish either type or distance of moving vehicle approaching from behind. Since, the hearing impaired encounter risky situation while they are in outdoor. In this paper, a simple system has been proposed for identify the type and distance of a moving vehicle using multi-classifier system (MCS). One-third octave filter bands approach have been used for extracting the significant feature from the noise emanated by the moving vehicle. The extracted features were associated with the type and distance of the moving vehicle and the MCS based on neural network model has been developed. The developed neural network model with same hidden neuron has been proposed for MCS. This network has been tested for single classifier and MCS. The developed MCS give a better classification accuracy compared to single classifier.