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In this paper, a vision system for monitoring driver's vigilance is presented. The level of vigilance is determined by integrating a number of facial parameters. In order to estimate these parameters, the facial features of eyes, mouth and head are first located in the input video sequence. The located facial features are then tracked over the subsequent images. Facial parameters are estimated during...
A projective homography is developed by relating feature points extracted from images taken at the reference and current camera position/orientation. By decomposing the homography into translation and rotation components, geometric relationships are determined that facilitate the construction of an adaptive strategy to identify unknown depth information. The development of the parameter identification...
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