Abstract: A method for processing a video stream of images captured by a color camera and used by a computer on board a motor vehicle to detect a priority vehicle, the method including: acquiring an image sequence; for each image of the image sequence: performing thresholding-based colorimetric segmentation, making it possible to detect colored luminous zones; tracking each segmented luminous zone; performing colorimetric classification of each segmented luminous zone; performing frequency analysis of each segmented luminous zone, making it possible to determine a flashing nature of the zone; computing an overall confidence index for each image of the image sequence, making it possible to declare a luminous zone as being a flashing light.

Abstract: A method for determining a parameter representative of the state of vigilance of a vehicle driver, on the basis of information, termed TLC values, representative of the residual time before the vehicle crosses a traffic line, includes, at each instant t0 of measurement of a TLC value, calculating an indicator parameter representing the state of vigilance PerTLC(t0) such that: PerTLC ? ( t ? ? 0 ) = ? ? M ? ? I ? ? N ? M ? ? AX ? PerTLC ? ( W ? ( ? ) , ? ) ? ? ? with: PerTLC(W(?),?)=percentage of time during which the TLC value is below a threshold ? in a time window W(?), [?min-?max] determined range of values ? expressed in units of time and W(?) monotonic function.

Abstract: A method for identifying symbolic points on the image of a face including images of a right eye, left eye and mouth, includes: detecting and identifying elements with strong contrasts such as the irises, nostrils, or mouth; selecting zones of the image with respect to the elements with strong contrasts including a priori two sought-after symbolic points interrelated by a morphological criterion; searching within the zones for natural points through the convergence of lines of the image and, for each natural point, determining a signature, determining a score with respect to pre-established signatures and selecting the natural points having a score above a threshold value; in each zone, identifying pairs of natural points and determining for each identified pair a score with respect to pairs of standard symbolic points and selecting the pair of natural points having the best score as symbolic points of the zone.

Abstract: A method for identifying symbolic points on the image of a face including images of a right eye, left eye and mouth, includes: detecting and identifying elements with strong contrasts such as the irises, nostrils, or mouth; selecting zones of the image with respect to the elements with strong contrasts including a priori two sought-after symbolic points interrelated by a morphological criterion; searching within the zones for natural points through the convergence of lines of the image and, for each natural point, determining a signature, determining a score with respect to pre-established signatures and selecting the natural points having a score above a threshold value; in each zone, identifying pairs of natural points and determining for each identified pair a score with respect to pairs of standard symbolic points and selecting the pair of natural points having the best score as symbolic points of the zone.