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In this paper, we propose a reliable method of eye states detection for drowsy driving monitoring. Given a restricted local block of eye regions, the Local Binary Pattern (LBP) histogram of the block is extracted and each bin of the histogram is treated as a feature of the eye. An AdaBoost based cascaded classifier is then trained to select the significant features from the large feature sets and...