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Many accidents in the industry and on the road occurs because of the drowsiness of machine operators or drivers and it results into loss of lives and economy. This factors can be reduced if the drowsy operators or drivers can be identified. This research is conducted for the identification of driver's drowsiness and fatigue using EEG signals and ocular artifacts. Here Neurosky® Mindwave Device has...
The paper proposes a novel method for human face extraction from color images, characterized by uncontrolled illumination conditions and complex backgrounds. The method incorporates stationary Haar wavelet transform & proximity influence for prominent boundaries detection and watershed transform, proximity influence & morphological operations to separate foreground / background along with...
The proposed novel method categorizes candidate boundaries into visually-prominent and non-prominent boundaries, considering local intensity cues of multiple color channels and pixel-prominence-values measured as a function of proximity-influence of other contours. The results of the method with and without incorporating a wavelet transform are compared for images of different characteristics, types...
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