US4760445A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Image-processing device for estimating the motion of objects situated in said image
Assignee: US Philips Corp
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Filing: 1987-04-09
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Granted: 1988-07-26
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Expires: 2007-04-09
Abstract
Abstract A TV image processing device includes a Kalman filtering estimation member (50) which provides for each image point "i" having coordinates Z i a displacement vector DK(Z i ) based on information contained in two successive images I(Z i ,t) and I(Z i ,t-TR) separated by a period TR. It further includes a second estimation member (60) for providing for each point "i" a displacement vector DB(Z i ), a quality measuring member (70) for evaluating the vectors DK(Z i ) and DB(Z i ) and for influencing a selector (80) for the vectors so as to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation quality for the output vector D(Z i ). The Kalman filtering member has an input (90) for receiving the selected vector D(Z i ).
Inventors
- 👤 Mekano Mijiyawa
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-25 15:42
CPC Classifications
H; H04; H04N; H04N19/00; H04N19/50; H04N19/503; H04N19/51; H04N19/577; G; G06; G06T; G06T7/00; G06T7/20; G06T7/277
Claims Analysis
Total Claims: 14
Claim 1
Independent Claim
227 words
An image-processing device for estimating the motion displacement D(Z i ) of objects situated in the image comprising a first estimation member which is an estimation member of a KALMAN filtering member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), wherein means forming part of the Kalman filtering member provide the value DK(Z i ) from predetermined parameters and means providing a value referred to as the innovation IFD so that IFD(Z.sub.i)=I(Z.sub.i, t)-I(Z.sub.i -DK(Z.sub.i), t-TR) and said means forming part of the Kalman filtering member further comprises a device for providing a succession of said parameters and the quality measuring member is also adapted to evaluate the minimum value of IFD as a function of the predetermined parameters.
Claim 2
Dependent Claim
227 words
An image-processing device for estimating the motion displacement D(Z i ) of objects situated in the image comprising a first estimation member which is an estimation member of a KALMAN filtering member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), wherein means forming part of the Kalman filtering member provide the value DK(Z i ) from predetermined parameters and means providing a value referred to as the innovation IFD so that IFD(Z.sub.i)=I(Z.sub.i, t)-I(Z.sub.i -DK(Z.sub.i), t-TR) and said means forming part of the Kalman filtering member further comprises a device for providing a succession of said parameters and the quality measuring member is also adapted to evaluate the minimum value of IFD as a function of the predetermined parameters.
Claim 3
Dependent Claim
86 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image as claimed in claim 1 further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z i ) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 4
Dependent Claim
52 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image as claimed in claim 1, further comprising a motion detector for providing when there is no motion of objects in the image, a vector D(Z i ) having a value indicating that there is no motion.
Claim 5
Dependent Claim
222 words
An image-processing device for estimating the motion displacement D(Z i ) of objects situated in the image comprising a first estimation member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member operating by means of block correlation for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), wherein means forming part of a Kalman filtering member provide the value DK(Z i ) from predetermined parameters and means providing a value referred to as the innovation IFD so that IFD(Z.sub.i)=I(Z.sub.i, t)-I(Z.sub.i -DK(Z.sub.i), t-TR) and said means forming part of the Kalman filtering member further comprises a device for providing a succession of said parameters and the quality measuring member is also adapted to evaluate the minimum value of IFD as a function of the predetermined parameters.
Claim 6
Dependent Claim
222 words
An image-processing device for estimating the motion displacement D(Z i ) of objects situated in the image comprising a first estimation member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member operating by means of block correlation for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), wherein means forming part of a Kalman filtering member provide the value DK(Z i ) from predetermined parameters and means providing a value referred to as the innovation IFD so that IFD(Z.sub.i)=I(Z.sub.i, t)-I(Z.sub.i -DK(Z.sub.i), t-TR) and said means forming part of the Kalman filtering member further comprises a device for providing a succession of said parameters and the quality measuring member is also adapted to evaluate the minimum value of IFD as a function of the predetermined parameters.
Claim 7
Dependent Claim
52 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image as claimed in claim 4, further comprising a motion detector for providing, when there is no motion of objects in the image, a vector D(Z i ) having a value indicating that there is no motion.
Claim 8
Dependent Claim
86 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image as claimed in claim 4, further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z i ) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 9
Dependent Claim
235 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image comprising a first estimation member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality mesuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), further comprising a motion detector for providing when there is no motion of objects in the image, a vector D(Z i ) having a value indicating that there is no motion, and further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z i ) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 10
Dependent Claim
235 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image comprising a first estimation member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality mesuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), further comprising a motion detector for providing when there is no motion of objects in the image, a vector D(Z i ) having a value indicating that there is no motion, and further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z i ) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 11
Dependent Claim
212 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image comrising a first estimation member which is an estimation member of a KALMAN filtering member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z.sub. i) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 12
Dependent Claim
212 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image comrising a first estimation member which is an estimation member of a KALMAN filtering member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z.sub. i) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 13
Dependent Claim
209 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image comprising a first estimation member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member operating by means of block correlation for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z i ) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
Claim 14
Dependent Claim
209 words
An image-processing device for estimating the displacement D(Z i ) of objects situated in said image comprising a first estimation member providing for each image point "i" having the coordinates Z i , a displacement vector DK(Z i ) from two successive images I(Z i , t) and I(Z i , t-TR) separated by a period TR, a second estimation member operating by means of block correlation for providing a displacement vector DB(Z i ) for each point "i" of the image, a quality measuring member for evaluating the vectors DK(Z i ) and DB(Z i ) and for controlling a vector selector to select that one of the two vectors DB(Z i ) and DK(Z i ) which provides the best estimation for the vector D(Z i ), such that the first estimation member is adapted to receive said vector D(Z i ), further comprising a device for providing a value IFDB(Z i )=I(Z i , t)-I(Z i -DB(Z i ), t-TR) such that this value is utilized as a quality criterion by the quality measuring member, whereby D(Z i ) is taken to be the value of DB(Z i ) or DK(Z i ) which gives the smallest value of IFD(Z i ) or IFDB(Z i ).
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1991-07-26 | 1992-01-25 | 1992-07-26 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 1995-07-26 | 1996-01-25 | 1996-07-26 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 1999-07-26 | 2000-01-25 | 2000-07-26 | $7700.00 | Window Closed / Lapsed |