Abstract: A control system comprising a reference image setting part setting a reference image of the face of the driver based on the image captured by the driver monitor camera, a monitoring part monitoring a condition of the driver based on the image captured by the driver monitor camera and the reference image, a first judging part judging if the face of the driver can no longer be recognized when monitoring the condition of the driver, a second judging part judging if the driver has been changed when the face of the driver can no longer be recognized, and a reference image resetting part resetting the reference image of the face of the driver based on the image captured by the driver monitor camera when it is judged that the driver has been changed.

Abstract: A driver condition detection system 1, 1? comprises a driver monitor camera 10 capturing an image of a face of a driver to generate a facial image of the driver, a facial information detecting part 21 detecting a facial orientation or a line of sight of the driver based on the facial image, a threshold value range setting part 22 setting a threshold value range allowed as the facial orientation or the line of sight, a driver condition judging part 23 judging that the driver is driving while distracted if the facial orientation or the line of sight is maintained outside of the threshold value range for a predetermined time period or more, and a road discriminating part 24 discriminating a shape of a road ahead of the vehicle 80. The threshold value range setting part expands the threshold value range according to the shape of the road.

Abstract: A driver monitoring system 1 includes: an image capturing device 11 which captures a face image of the driver; and a control device 50 to which the face image captured by the image capturing device is transmitted. The control device includes: a facial orientation recognition unit which recognizes the facial orientation angle of the driver based on the face image captured by the image capturing device; a zero-point setting unit which sets a zero-point of a pitch angle, yaw angle, and roll angle of the face of the driver based on the facial orientation angle recognized by the facial orientation recognition unit, when zero-point setting conditions, including that the velocity of the vehicle is equal to or greater than a predetermined velocity, are satisfied; and a state diagnosis unit that diagnoses a state of the driver based on the current facial orientation angle with respect to the zero-point set by the zero-point setting unit.

Abstract: A driver assist system and method for a motor vehicle that includes processing circuitry configured to receive and store a sequence of images from perimeter view cameras, select at least a portion of a previously stored image based on an estimated position displacement of the motor vehicle, construct an under view image of at least a portion of the motor vehicle, and display the under view image on a display monitor.

Abstract: A control system comprises a driver condition monitoring part configured to monitor the condition of the driver based on the captured image of the driver monitor camera. The driver condition monitoring part is configured to judge if the face of the driver fits in the angle of view of the driver monitor camera based on captured image of the driver monitor camera and to provide the driver through the information providing system with movement information relating to movement necessary for fitting the face of the driver in the angle of view when it is judged that the face of the driver does not fit in the angle of view of the driver monitor camera.

Abstract: A vehicle periphery monitoring device includes: a peripheral image acquisition unit that acquires a peripheral image output from an imaging unit that images a periphery of a vehicle; an idling determination unit that determines whether a wheel is idling based on a physical quantity of the wheel of the vehicle; and a display controller that displays the peripheral image on a display, and changes a display form of a predicted course of the wheel on the peripheral image according to an idling state of the wheel.

Abstract: A control system comprising a reference image setting part setting a reference image of the face of the driver based on the image captured by the driver monitor camera, a monitoring part monitoring a condition of the driver based on the image captured by the driver monitor camera and the reference image, a first judging part judging if the face of the driver can no longer be recognized when monitoring the condition of the driver, a second judging part judging if the driver has been changed when the face of the driver can no longer be recognized, and a reference image resetting part resetting the reference image of the face of the driver based on the image captured by the driver monitor camera when it is judged that the driver has been changed.

Abstract: A driver condition detection system 1, 1? comprises a driver monitor camera 10 capturing an image of a face of a driver to generate a facial image of the driver, a facial information detecting part 21 detecting a facial orientation or a line of sight of the driver based on the facial image, a threshold value range setting part 22 setting a threshold value range allowed as the facial orientation or the line of sight, a driver condition judging part 23 judging that the driver is driving while distracted if the facial orientation or the line of sight is maintained outside of the threshold value range for a predetermined time period or more, and a road discriminating part 24 discriminating a shape of a road ahead of the vehicle 80. The threshold value range setting part expands the threshold value range according to the shape of the road.

Abstract: A control system comprises a driver condition monitoring part configured to monitor the condition of the driver based on the captured image of the driver monitor camera. The driver condition monitoring part is configured to judge if the face of the driver fits in the angle of view of the driver monitor camera based on captured image of the driver monitor camera and to provide the driver through the information providing system with movement information relating to movement necessary for fitting the face of the driver in the angle of view when it is judged that the face of the driver does not fit in the angle of view of the driver monitor camera.

Abstract: A driver monitoring system 1 includes: an image capturing device 11 which captures a face image of the driver; and a control device 50 to which the face image captured by the image capturing device is transmitted. The control device includes: a facial orientation recognition unit which recognizes the facial orientation angle of the driver based on the face image captured by the image capturing device; a zero-point setting unit which sets a zero-point of a pitch angle, yaw angle, and roll angle of the face of the driver based on the facial orientation angle recognized by the facial orientation recognition unit, when zero-point setting conditions, including that the velocity of the vehicle is equal to or greater than a predetermined velocity, are satisfied; and a state diagnosis unit that diagnoses a state of the driver based on the current facial orientation angle with respect to the zero-point set by the zero-point setting unit.

Abstract: A driver assist system and method for a motor vehicle that includes processing circuitry configured to receive and store a sequence of images from perimeter view cameras, select at least a portion of a previously stored image based on an estimated position displacement of the motor vehicle, construct an under view image of at least a portion of the motor vehicle, and display the under view image on a display monitor.

Abstract: A vehicle periphery monitoring device includes: a peripheral image acquisition unit that acquires a peripheral image output from an imaging unit that images a periphery of a vehicle; an idling determination unit that determines whether a wheel is idling based on a physical quantity of the wheel of the vehicle; and a display controller that displays the peripheral image on a display, and changes a display form of a predicted course of the wheel on the peripheral image according to an idling state of the wheel.

Abstract: An object determining device includes imaging means for obtaining an image of the object, likelihood value calculating means for calculating a first likelihood value for the object shown in the image by use of the image obtained by the imaging means and a machine learning system and for calculating a second likelihood value for the object shown in the image by use of the image obtained by the imaging means and another machine learning system, the first likelihood value indicating a level of likelihood that the object is wearing the covering and the second likelihood value indicating a level of likelihood that the object is not wearing the covering, and determining means for determining whether or not the object, shown in the image obtained by the imaging means, is wearing a covering, on the basis of a ratio between the first likelihood value and the second likelihood value.

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 object determining device includes imaging means for obtaining an image of the object, likelihood value calculating means for calculating a first likelihood value for the object shown in the image by use of the image obtained by the imaging means and a machine learning system and for calculating a second likelihood value for the object shown in the image by use of the image obtained by the imaging means and another machine learning system, the first likelihood value indicating a level of likelihood that the object is wearing the covering and the second likelihood value indicating a level of likelihood that the object is not wearing the covering, and determining means for determining whether or not the object, shown in the image obtained by the imaging means, is wearing a covering, on the basis of a ratio between the first likelihood value and the second likelihood value.

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 face image obtained by imaging a vehicle occupant by a CCD camera (10) is recorded in an image memory (140). A CPU (170) detects the position and the direction of a face of the occupant according to the face image recorded in the recording memory (140). The CPU (170) is triggered by an input from an obstacle detection sensor (60) to calculate a displacement amount and a rotation amount of a headrest (200) according to the face and the direction of the face of the occupant against the headrest (200) and the direction and the speed of the obstacle against the vehicle and adjust the position and angle of the headrest (200) by driving a motor (211).

Abstract: A central location of a face detecting device comprises an image input means for inputting a captured face image, a horizontal edge detecting means for detecting a horizontal edge having a predetermined vertical length based on the face image inputted by the image input means; and a central location of a face detecting means for calculating an average value of a horizontal location data of the horizontal edge detected by the horizontal edge detecting means, and determining the average value as a central location of the face.

Abstract: A facial parts position detection device which includes an image inputting device for inputting a captured face image, an ends position detecting device for detecting right and left ends position of the face on the basis of the image, a facial parts region setting device for setting facial parts region indicating a region where facial parts exists on the basis of the right and left ends of the face, a horizontal edge detecting device for detecting a horizontal edge on the basis of the image inputted by the image inputting device, a horizontal edge histogram creating device for creating a horizontal edge histogram by projecting the horizontal edge in a horizontal direction, a proposed position setting device for setting a plurality of peaks of the horizontal edge histogram as proposed positions respectively, and an optimum position detecting device for detecting an optimum position of the facial parts region.

Abstract: A facial parts position detection device which includes an image inputting device for inputting a captured face image, an ends position detecting device for detecting right and left ends position of the face on the basis of the image, a facial parts region setting device for setting facial parts region indicating a region where facial parts exists on the basis of the right and left ends of the face, a horizontal edge detecting device for detecting a horizontal edge on the basis of the image inputted by the image inputting device, a horizontal edge histogram creating device for creating a horizontal edge histogram by projecting the horizontal edge in a horizontal direction, a proposed position setting device for setting a plurality of peaks of the horizontal edge histogram as proposed positions respectively, and an optimum position detecting device for detecting an optimum position of the facial parts region.