Image processing system
1 Assignment
0 Petitions
Accused Products
Abstract
Provided are an image processing method, an image processing system, an image processing device and a computer program for detecting a detection object such as nares of the driver with a high degree of accuracy in, for example, a system using an in-vehicle camera which is mounted on a vehicle and takes an image of the face of the driver. A detection object is diversified by a variety of detection methods such as a method for detecting a plurality of locations in the vertical direction as candidates during image pickup of an image, detecting a range to be a candidate of a detection object on the basis of the brightness of a pixel for each of rows of pixels lined up in the horizontal direction corresponding to each detected location and specifying a detection object from candidates of a detection object on the basis of the length of the detected range.
-
Citations
45 Claims
-
1-21. -21. (canceled)
-
22. An image processing method of detecting a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other comprising:
-
integrating brightness of pixels lined up in the first direction;
deriving a change in an integrated value in the second direction;
detecting a plurality of locations in the second direction as locations corresponding to candidates of a detection object on the basis of the derived change in an integrated value;
detecting a range in the first direction on the basis of brightness of a pixel as a candidate of the detection object for each of rows of pixels lined up in the first direction corresponding to each detected location; and
specifying the detection object from candidates of the detection object on the basis of length of the detected range.
-
-
23. An image processing method of detecting a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, comprising:
-
converting brightness of one pixel on the basis of a result of both addition based on brightness of each other adjoining pixel and subtraction based on both brightness of a pixel located at a predetermined distance in the first direction and brightness of a pixel located at the predetermined distance in the second direction from said one pixel; and
detecting a detection object on the basis of a result of conversion.
-
-
24. An image processing method of detecting a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, comprising:
-
integrating numerical values in the second direction, said numerical values being based on a change in brightness of pixels lined up in the first direction;
deriving a change in an integrated value in the first direction;
integrating numerical values in the first direction, said numerical values being based on a change in brightness of pixels lined up in the second direction;
deriving a change in an integrated value in the second direction; and
detecting a detection object on the basis of both a range in the first direction on the basis of the derived change in an integrated value in the first direction and a range in the second direction on the basis of the derived change in an integrated value in the second direction.
-
-
25. An image processing method of detecting a specific detection object from a two-dimensional image including a plurality of pixels by a plurality of detection methods, comprising:
-
computing a mean value of brightness of pixels;
computing a variance value of brightness of pixels; and
deciding priority of each of the plurality of detection methods on the basis of both the computed mean value and the computed variance value.
-
-
26. An image processing device which detects a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, comprising:
-
a deriving part which integrates brightness of pixels lined up in the first direction and derives a change in an integrated value in the second direction;
a candidate detecting part which detects a plurality of locations in the second direction as locations corresponding to candidates of a detection object on the basis of the derived change in the integrated value;
a range detecting part which detects a range in the first direction on the basis of brightness of a pixel as a candidate of the detection object for each of rows of pixels lined up in the first direction corresponding to each of the plurality of detected locations; and
a specifying part which specifies the detection object from candidates of the specific detection object on the basis of length of the detected range. - View Dependent Claims (27, 28, 29, 30, 31, 38)
-
-
33. An image processing device which detects a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, comprising:
-
a part which converts brightness of one pixel on the basis of a result of both addition based on brightness of each other adjoining pixel and subtraction based on both brightness of a pixel located at a predetermined distance in the first direction and brightness of a pixel located at a predetermined distance in the second direction from said one pixel; and
a detecting part which detects a detection object on the basis of a result of conversion. - View Dependent Claims (34, 39)
-
-
35. An image processing device which detects a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, comprising:
-
a first deriving part which integrates numerical values, in the second direction, based on a change in brightness of pixels lined up in the first direction and derives a change in an integrated value in the first direction;
a second deriving part which integrates numerical values, in the first direction, based on a change in brightness of pixels lined up in the second direction and derives a change in an integrated value in the second direction; and
a detecting part which detects a detection object on the basis of both a range in the first direction based on the change in an integrated value in the first direction derived by the first deriving part and a range in the second direction based on the change in an integrated value in the second direction derived by the second deriving part. - View Dependent Claims (36, 40)
-
-
37. An image processing device which detects a specific detection object from a two-dimensional image including a plurality of pixels by a plurality of detection methods, comprising:
-
a part which computes a mean value of brightness of a pixel;
a part which computes a variance value of brightness of a pixel; and
a part which decides priority of each of the plurality of detection methods on the basis of both the computed mean value and the computed variance value. - View Dependent Claims (32, 41)
-
-
42. A computer-readable storage encoding a computer program that when executed causes a computer to perform a method of detecting a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, said method comprising:
-
integrating brightness of pixels lined up in the first direction;
deriving a change in an integrated value in the second direction;
detecting a plurality of locations in the second direction as locations corresponding to candidates of a detection object on the basis of the derived change in an integrated value;
detecting a range in the first direction on the basis of brightness of a pixel as a candidate of the detection object for each of rows of pixels lined up in the first direction corresponding to each detected location; and
specifying the detection object from candidates of the detection object on the basis of length of the detected range.
-
-
43. A computer-readable storage encoding a computer program that when executed causes a computer to perform a method of detecting a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, said method comprising:
-
converting brightness of one pixel on the basis of a result of both addition based on brightness of each other adjoining pixel and subtraction based on both brightness of a pixel located at a predetermined distance in the first direction and brightness of a pixel located at a predetermined distance in the second direction from said one pixel; and
detecting the detection object on the basis of a result of conversion.
-
-
44. A computer-readable storage encoding a computer program that when executed causes a computer to perform a method of detecting a specific detection object from a two-dimensional image in which pixels are lined up in both a first direction and a second direction that are different from each other, said method comprising:
-
integrating numerical values, in the second direction, based on a change in brightness of pixels lined up in the first direction;
deriving a change in an integrated value in the first direction;
integrating numerical values, in the first direction, based on a change in brightness of pixels lined up in the second direction;
deriving a change in an integrated value in the second direction; and
detecting a detection object on the basis of both a range in the first direction based on the derived change in an integrated value in the first direction and a range in the second direction based on the derived change in an integrated value in the second direction.
-
-
45. A computer-readable memory storage encoding a computer program that when executed causes a computer to perform a method of detecting a specific detection object from a two-dimensional image including a plurality of pixels by a plurality of detection methods, said method comprising:
-
computing a mean value of brightness of a pixel;
computing a variance value of brightness of a pixel; and
deciding priority of detection methods on the basis of both the computed mean value and the computed variance value.
-
Specification