Driver fatigue is an important reason for traffic accidents. To ameliorate traffic safety, this paper proposes a novel
method for fatigue pattern detection which is based on parallel Gabor and 1-Nearest Neighbor (1-NN) algorithm. In the
algorithm, parallel Gabor wavelets ssand feature orientation fusion are first employed to get multi-scale orientation
fusion image features, since facial features from tired drivers are different from the opposite. Then, during the phase of
classification, the multi-scale 1-NN algorithm is used to classify the extracted facial image features for fatigue pattern
detection. Experimental results show that the new method can effectively recognize driver fatigue pattern, and the
performance of real-time fatigue detection with multiple processors has been improved comparative to single CPU
computing environments.
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