Abstract: An eyelid detection apparatus includes a face image storing means storing a plurality of face images of a subject captured at different timings, a change detecting means detecting changes in each face image caused by blinking after processing the plurality of face images stored by the face image storing means, and an eyelid detecting means detecting a position of an eyelid of the subject based on the changes detected by the change detecting means.

Abstract: A facial image photographic device for vehicle mounting includes a facial image photographic camera which photographs the face of a driver of a vehicle while the vehicle is running, and a changeover device. The changeover device changes over a utilization environment of the facial image photographic camera between a position in which, when performing photography, the facial image photographic camera can be exposed to direct insolation by sunlight, and a position in which, when not performing photography, at least a part of the facial image photographic camera is not to be exposed to direct insolation by sunlight than when performing photography.

Abstract: An eye detecting device includes an image generating device for generating a face image, a nostril detecting portion for detecting a nostril in the face image, an eye searching area setting portion for setting an eye searching area in the face image based on a position of the nostril detected by the nostril detecting portion, and an eye searching portion for searching an eye within the eye searching area set by the eye searching area setting portion.

Abstract: An on-board warning apparatus of the invention includes an inattentive time measuring device that measures a duration of an inattentive state of a driver; a dozing time measuring device that measures a duration of a dozing state of the driver; a first warning output device that warns the driver when the measured inattentive time exceeds a first predetermined period of time Ta; and a second warning output device that warns the driver when the measured dozing time exceeds a second predetermined period of time Tb. The first predetermined time Ta is shorter than the second predetermined period of time Tb.

Abstract: An eyelid detection apparatus includes a face-image storing apparatus for storing an image of a face of a subject, an eyelid-candidate extracting apparatus for processing the image stored in the face-image storing apparatus to extract a pair of lines, which becomes a candidate of a combination of a line corresponding to an upper eyelid and a line corresponding to a lower eyelid, a parameter calculating apparatus for calculating a parameter, which indicates a possibility that a pan of the image stored in the face-image storing apparatus, the part corresponding to the pair of lines extracted by the eyelid-candidate extracting apparatus, includes at least one of outer and inner corners of an eye, and an eyelid detecting apparatus for detecting a position of an eyelid of the subject on the basis of the parameter calculated by the parameter calculating apparatus.

Abstract: A face feature point detection apparatus includes an image capturing device, an edge calculating unit calculating edge values indicating a luminance change in a direction, and a detection target determining unit scanning an edge image, which is created by arranging the edge values for corresponding pixels based on pixel arrangement of the face images, with an image window being an aggregation of selected pixels formed in a predetermined shape, the detection target determining unit determining a position of the image window having a largest weighted sum of weighted sums to be a detection position where a detection target is present, providing that the weighted sum is calculated by multiplying the edge value which corresponds to each pixel in the image window by a predetermined value defined on a per-pixel basis and adding up all products of the edge value and the predetermined value.

Abstract: An image capturing section captures a face of an observed person. A position detecting section detects, from a face image expressing the face captured by the image capturing section, one of a position expressing a characteristic of a nose and a position expressing a characteristic of a region between eyebrows. A computing section computes a past relative position of a predetermined region of the face that is based on the position detected in the past by the position detecting section. A region position detecting section detects a position of the predetermined region on the basis of the past relative position computed by the computing section and the current position detected by the position detecting section.

Abstract: It is possible to accurately detect a face center position based on an image of a person when the person is wearing glasses even when the person is facing sideways. Face images obtained as a result of photographing a face of a driver using a camera (10) are stored in an image memory (22). The CPU 24 determines positions of the sides and top and bottom positions of the face based on the face images stored in the image memory (22). Further, the CPU 24 determines whether or not the driver is wearing glasses or is facing sideways. When the wearing glasses and facing sideways is determined, a face center position is detected using face images for a lower region of the face. As a result, it is possible to detect a face center position in a reliable manner even when a driver wearing glasses is facing sideways.

Abstract: An on-board warning apparatus of the invention includes an inattentive time measuring device that measures a duration of an inattentive state of a driver; a dozing time measuring device that measures a duration of a dozing state of the driver; a first warning output device that warns the driver when the measured inattentive time exceeds a first predetermined period of time Ta; and a second warning output device that warns the driver when the measured dozing time exceeds a second predetermined period of time Tb. The first predetermined time Ta is shorter than the second predetermined period of time Tb.

Abstract: It is possible to accurately detect a face center position based on an image of a person when the person is wearing glasses even when the person is facing sideways. Face images obtained as a result of photographing a face of a driver using a camera (10) are stored in an image memory (22). The CPU 24 determines positions of the sides and top and bottom positions of the face based on the face images stored in the image memory (22). Further, the CPU 24 determines whether or not the driver is wearing glasses or is facing sideways. When the wearing glasses and facing sideways is determined, a face center position is detected using face images for a lower region of the face. As a result, it is possible to detect a face center position in a reliable manner even when a driver wearing glasses is facing sideways.

Abstract: A facial image photographic device for vehicle mounting includes a facial image photographic camera which photographs the face of a driver of a vehicle while the vehicle is running, and a changeover device. The changeover device changes over a utilization environment of the facial image photographic camera between a position in which, when performing photography, the facial image photographic camera can be exposed to direct insolation by sunlight, and a position in which, when not performing photography, at least a part of the facial image photographic camera is not to be exposed to direct insolation by sunlight than when performing photography.

Abstract: An image capturing section captures a face of an observed person. A position detecting section detects, from a face image expressing the face captured by the image capturing section, one of a position expressing a characteristic of a nose and a position expressing a characteristic of a region between eyebrows. A computing section computes a past relative position of a predetermined region of the face that is based on the position detected in the past by the position detecting section. A region position detecting section detects a position of the predetermined region on the basis of the past relative position computed by the computing section and the current position detected by the position detecting section.

Abstract: An eyelid detection apparatus includes a face-image storing apparatus for storing an image of a face of a subject, an eyelid-candidate extracting apparatus for processing the image stored in the face-image storing apparatus to extract a pair of lines, which becomes a candidate of a combination of a line corresponding to an upper eyelid and a line corresponding to a lower eyelid, a parameter calculating apparatus for calculating a parameter, which indicates a possibility that a pan of the image stored in The face-image storing apparatus, the part corresponding to the pair of lines extracted by the eyelid-candidate extracting apparatus, includes at least one of outer and inner corners of an eye, and an eyelid detecting apparatus for detecting a position of an eyelid of the subject on the basis of the parameter calculated by the parameter calculating apparatus.

Abstract: A face feature point detection apparatus includes an image capturing device, an edge calculating unit calculating edge values indicating a luminance change in a direction, and a detection target determining unit scanning an edge image, which is created by arranging the edge values for corresponding pixels based on pixel arrangement of the face images, with an image window being an aggregation of selected pixels formed in a predetermined shape, the detection target determining unit determining a position of the image window having a largest weighted sum of weighted sums to be a detection position where a detection target is present, providing that the weighted sum is calculated by multiplying the edge value which corresponds to each pixel in the image window by a predetermined value defined on a per-pixel basis and adding up all products of the edge value and the predetermined value.

Abstract: An eyelid detection apparatus includes a face image storing means storing a plurality of face images of a subject captured at different timings, a change detecting means detecting changes in each face image caused by blinking after processing the plurality of face images stored by the face image storing means, and an eyelid detecting means detecting a position of an eyelid of the subject based on the changes detected by the change detecting means.

Abstract: An eye detecting device includes an image generating device for generating a face image, a nostril detecting portion for detecting a nostril in the face image, an eye searching area setting portion for setting an eye searching area in the face image based on a position of the nostril detected by the nostril detecting portion, and an eye searching portion for searching an eye within the eye searching area set by the eye searching area setting portion.