Claims Analysis
Total Claims: 13
Claim 1
Independent Claim
234 words
A method for detecting obstacles in the path of a moving vehicle, comprising the steps of: imaging a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting a point in the first frame; defining a location in the first frame for a long and narrow window encompassing the targeted point in a predetermined relationship and extending in a radial direction relative to a focus of expansion in the first frame; establishing a location in the second frame for the long and narrow window by (i) stepwise moving the window in the radial direction while calculating a sum of absolute values of differences in luminance between the window in the first frame and the window in the second frame, and (ii) determining where the calculated sum attains a minimum value; ascertaining a point in the second frame corresponding to the targeted point based on the location of the window in the second frame by utilizing the predetermined relationship; defining an optical flow vector as a displacement measured from the targeted point to the corresponding point; and utilizing a magnitude and a positioning of the optical flow vector relative to the focus of expansion to determine a degree of danger for the moving vehicle.
Claim 2
Independent Claim
234 words
A method for detecting obstacles in the path of a moving vehicle, comprising the steps of: imaging a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting a point in the first frame; defining a location in the first frame for a long and narrow window encompassing the targeted point in a predetermined relationship and extending in a radial direction relative to a focus of expansion in the first frame; establishing a location in the second frame for the long and narrow window by (i) stepwise moving the window in the radial direction while calculating a sum of absolute values of differences in luminance between the window in the first frame and the window in the second frame, and (ii) determining where the calculated sum attains a minimum value; ascertaining a point in the second frame corresponding to the targeted point based on the location of the window in the second frame by utilizing the predetermined relationship; defining an optical flow vector as a displacement measured from the targeted point to the corresponding point; and utilizing a magnitude and a positioning of the optical flow vector relative to the focus of expansion to determine a degree of danger for the moving vehicle.
Claim 3
Independent Claim
167 words
A method for detecting obstacles in the path of a moving vehicle, comprising the steps of: using a video camera to capture a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting points in the first frame; detecting displacements of the targeted points in the second frame as respective optical flow vectors; removing optical flow vectors resulting from a lane-dividing line or a character drawn on a road surface by: (i) determining a height measured from the line or the character to the video camera, and (ii) deleting those optical flow vectors for which the determined height coincides with a height of the video camera to the road surface; and utilizing magnitudes and positionings relative to a focus of expansion of remaining optical flow vectors to determine a degree of danger for the moving vehicle.
Claim 4
Independent Claim
167 words
A method for detecting obstacles in the path of a moving vehicle, comprising the steps of: using a video camera to capture a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting points in the first frame; detecting displacements of the targeted points in the second frame as respective optical flow vectors; removing optical flow vectors resulting from a lane-dividing line or a character drawn on a road surface by: (i) determining a height measured from the line or the character to the video camera, and (ii) deleting those optical flow vectors for which the determined height coincides with a height of the video camera to the road surface; and utilizing magnitudes and positionings relative to a focus of expansion of remaining optical flow vectors to determine a degree of danger for the moving vehicle.
Claim 5
Independent Claim
142 words
A method for detecting obstacles in the path of a moving vehicle, comprising the steps of: using a video camera to capture a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting points in a processing area of the first frame; detecting displacements of the targeted points in the second frame as respective optical flow vectors; dividing the processing area into a plurality of zones; for each of the zones, weighting a sum of magnitudes of the optical flow vectors present in each of the zones on a zone basis; and determining a degree of danger for the moving vehicle from the weighted sum calculated for each of the zones.
Claim 6
Independent Claim
142 words
A method for detecting obstacles in the path of a moving vehicle, comprising the steps of: using a video camera to capture a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting points in a processing area of the first frame; detecting displacements of the targeted points in the second frame as respective optical flow vectors; dividing the processing area into a plurality of zones; for each of the zones, weighting a sum of magnitudes of the optical flow vectors present in each of the zones on a zone basis; and determining a degree of danger for the moving vehicle from the weighted sum calculated for each of the zones.
Claim 7
Dependent Claim
51 words
The method according to claim 3, wherein said determining step comprises: setting a respective, predetermined threshold for each of the zones; and if the weighted sum in at least one of the zones exceeds the predetermined threshold for that one zone, judging that the moving vehicle is in a dangerous situation.
Claim 8
Dependent Claim
49 words
The method according to claim 3, wherein said determining step comprises: for each of the zones, setting plural, predetermined thresholds of differing levels; and for each of the zones, determining the degree of danger based on which of the thresholds is exceeded by the weighted sum for that zone.
Claim 9
Dependent Claim
22 words
The method according to claim 5, further comprising the step of: outputting an alarm in accordance with the determined degree of danger.
Claim 10
Independent Claim
265 words
A method for detecting obstacles in a vicinity of a moving vehicle, comprising the steps of: imaging a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting a point in the first frame; defining a location in the first frame for a long and narrow window encompassing the targeted point in a predetermined relationship and extending in a radial direction relative to a focus of expansion in the first frame; establishing a location in the second frame for the long and narrow window by (i) stepwise moving the window in the radial direction while calculating a sum of absolute values of differences in luminance between the window in the first frame and the window in the second frame, and (ii) determining where the calculated sum attains a minimum value; ascertaining a point in the second frame corresponding to the targeted point based on the location of the window in the second frame by utilizing the predetermined relationship; defining an optical flow vector as a displacement measured from the targeted point to the corresponding point; selecting the optical flow vector only if the optical flow vector defines a displacement away from the focus of expansion; and if said selecting step yields a selected optical flow vector, utilizing a magnitude and a positioning of the selected optical flow vector relative to the focus of expansion to determine a degree of danger for the moving vehicle.
Claim 11
Independent Claim
265 words
A method for detecting obstacles in a vicinity of a moving vehicle, comprising the steps of: imaging a view from the moving vehicle as at least two image frames, a first frame of the two image frames being taken at a first time and a second frame of the two image frames being taken at a succeeding time; targeting a point in the first frame; defining a location in the first frame for a long and narrow window encompassing the targeted point in a predetermined relationship and extending in a radial direction relative to a focus of expansion in the first frame; establishing a location in the second frame for the long and narrow window by (i) stepwise moving the window in the radial direction while calculating a sum of absolute values of differences in luminance between the window in the first frame and the window in the second frame, and (ii) determining where the calculated sum attains a minimum value; ascertaining a point in the second frame corresponding to the targeted point based on the location of the window in the second frame by utilizing the predetermined relationship; defining an optical flow vector as a displacement measured from the targeted point to the corresponding point; selecting the optical flow vector only if the optical flow vector defines a displacement away from the focus of expansion; and if said selecting step yields a selected optical flow vector, utilizing a magnitude and a positioning of the selected optical flow vector relative to the focus of expansion to determine a degree of danger for the moving vehicle.
Claim 12
Dependent Claim
18 words
The method according to claim 7, wherein the view imaged from the moving vehicle is a rear view.
Claim 13
Dependent Claim
18 words
The method according to claim 7, wherein the view imaged from the moving vehicle is a side view.