Abstract: A system and method are disclosed relating to a computer system that estimates the status of the driver of a vehicle. The system comprises the following steps: Acquisition of an image from a depth sensor containing depth and optional an IR intensity image and an RGB color image; identification of pixels that belong to the drivers head; creation of a 3D model of the head including an intensity model and a variability estimate for depth, grayscale and color information; estimation of the principal head pose and the neutral facial expression; estimation of the current relative head pose with respect to the principal head pose; identification of pixels that do not match the neutral face model with respect to depth, grayscale or color information or any combination thereof; clustering of the pixels with identified deviations; classification of spatial and temporal patterns to identify driver status and distraction events.

Abstract: A system and method are disclosed relating to a computer system that estimates the status of the driver of a vehicle. The system comprises the following steps: Acquisition of an image from a depth sensor containing depth and optional an IR intensity image and an RGB color image; identification of pixels that belong to the drivers head; creation of a 3D model of the head including an intensity model and a variability estimate for depth, grayscale and color information; estimation of the principal head pose and the neutral facial expression; estimation of the current relative head pose with respect to the principal head pose; identification of pixels that do not match the neutral face model with respect to depth, grayscale or color information or any combination thereof; clustering of the pixels with identified deviations; classification of spatial and temporal patterns to identify driver status and distraction events.