Estimation of Driver‟s Fatigueness using Entropy and Wavelet Transform Domain

Moving vehicle’s driver’s Fatigueness is of prime concern for long and safe drive. Fatigueness can be estimated by observing the facial expression. The said problem may be thought of analysis of driver’s facial expression in wavelet domain using entropy of low frequency and high frequency sub band of the facial image. Further, the video movie of the driver may be decomposed into images as frames and can be analyzed in wavelet domain so as to correlate the facial images to fatigueless level. In the proposed work, following objectives are proposed in order to solve the presented problem: Decomposition of video into 2-d frames/images, Wavelet Decomposition of Facial images in LL, LH, HL and HH frequency sub-bands using haar wavelet, Entropy profile of LL and HH sub-band images and Correlation of Entropy to fatigueless Level.