Energy weighted parameter spatial/temporal filter

Claim 3

The apparatus of claim 1, said estimator comprising means for estimating from each of said Doppler or time shift signals a parameter related to energy of said Doppler or time shift signal, said device setting weighted averages of the mean velocity related and the variance of velocity related parameters as functions of a weighted average of energy related parameters of the Doppler or time shift signals by means of said weight or weights.

Claim 4

The apparatus of claim 2, further comprising a discriminator comprising means for discriminating the weighted averages of the energy, mean velocity and variance of velocity related parameters in reference to predetermined thresholds.

Claim 5

The apparatus of claim 2, wherein said estimator estimates and said device operates on the logarithms of the energy values of the Doppler or time shift signals, and said device derives the weighted average of the logarithms of the energy values of the Doppler or time shift signals.

Claim 6

The apparatus of claim 2, wherein each of said Doppler or time shift signals represents information as a set of signal values at a particular pixel location in a frame in a time sequence of frames of the same size, said estimator estimating, from each set of signal values a corresponding set of three parameters related respectively to mean velocity, variance of velocity and energy of the corresponding Doppler or time shift signal, said device deriving averages of parameters related to the mean velocity, variance of velocity and energy of Doppler or time shift signals from said sets of signal values for said pixel location, where a kth Doppler or time shift signal in the sequence corresponds to a kth set of signal values and a kth frame, k being a positive integer, said device deriving for the kth Doppler or time shift signal and kth frame an average ENE k of the parameter related to the energies of the Doppler or time shift signals, said average being given by ##EQU8## where ENE k-n NEW is the parameter estimated by the estimator from the (k-n)th set of signal values corresponding to the (k-n)th Doppler or time shift signal and (K-n)th frame, n being a non-negative integer smaller than k, ENE k-n being the average of parameters related to the energies of the Doppler or time shift signals derived by the device for the (k-n)th Doppler or time shift signal and (k-n)th frame; a n , a n , L, N being predetermined constants, and L, N being positive integers.

Claim 7

The apparatus of claim 5, wherein the device derives the energy weighted averages VEL k , VAR k of parameters related respectively to mean velocity and to variance of velocity for the kth Doppler or time shift signal and frame according to the following relations: ##EQU9## where VEL k-n NEW is the parameter related to mean velocity estimated from the (k-n)th Doppler or time shift signal by the estimator, VAR k-n NEW is the parameter related to variance of velocity estimated from the (k-n)th Doppler or time shift signal by the estimator, VEL k-n is the averaged parameter related to mean velocity derived for the (k-n)th Doppler or time shift signal by the device, VAR k-n is the averaged parameter related to variance of velocity derived for the (k-n)th Doppler or time shift signal by the device, and β k ,n, β k ,n are given by: ##EQU10##

Claim 8

The apparatus of claim 5, wherein L has the value 0 and N has the value 1.

Claim 9

The apparatus of claim 5, wherein L has the value 1 and all ENE k-n terms are omitted.

Claim 10

The apparatus of claim 2, wherein each Doppler or time shift signal represents information as a set of signal values at a corresponding pixel location of a plurality of pixel locations in a frame, said estimator estimating from each set of signal values at each pixel location a corresponding set of three parameters related respectively to mean velocity, variance of velocity and energy of the corresponding Doppler or time shift signal, said device deriving an average ENE x ,y of parameters related to energy of input signals for a pixel location (x,y), as a weighted average of the estimated parameters by the estimator from a plurality of sets of signal values at the corresponding plurality of pixel locations in a domain in said frame, said domain including the pixel location (x,y).

Claim 11

The apparatus of claim 9, said device deriving the average ENE x ,y according to: ##EQU11## where N, M are positive odd integers, or where N, M are positive even integers, then according to one of the following two relations: ##EQU12## wherein n, m are integers, a m ,n are constants and ENE x-m ,y-n NEW the estimated parameter related to energy of the Doppler or time shift signal corresponding to the (x-m,y-n) pixel location.

Claim 12

The apparatus of claim 10, said device deriving averages VEL x ,y VAR x ,y of parameters related to the mean velocity, variance of velocity for pixel location (x,y) according to the following: ##EQU13## where VEL x-m ,y-n NEW , VAR x-m ,y-n NEW are the estimated parameter related respectively to the mean velocity and variance of velocity for pixel location (x-m,y-n).

Claim 13

The apparatus of claim 10, wherein N, M are equal to 3.

Claim 14

The apparatus of claim 2, wherein said Doppler or time shift signals represent information in the form of frames of sets of signal values at different pixel locations of the frames, each set corresponding to a pixel location of a frame, and wherein said frames are supplied to the apparatus sequentially, said frames including a current frame and at least one previous frame supplied to the apparatus before said current frame, said device deriving said average of the parameters related to the energies of the Doppler or time shift signals and energy weighted averages of parameters related to mean velocity and variance of velocity of said moving objects for a pixel location in the current frame from the set of parameters estimated from signal values for said pixel location of the current frame and from the averaged parameters from signal values for said pixel location of at least one previous frame.

Claim 15

The apparatus of claim 13, said device including a recursive filter.

Claim 16

The apparatus of claim 14, said recursive filter including: an adder; and a feedback signal path including a frame delay circuit for supplying an input value that is an averaged energy related parameter or energy weighted average of mean velocity or variance of velocity for said pixel location of a previous frame to the adder for adding to said input value a parameter related to the energy, mean velocity or variance of velocity for said pixel location of the current frame.

Claim 17

The apparatus of claim 2, wherein said Doppler or time shift signals represent information in the form of frames of sets of signal values at different pixel locations of the frames, said device deriving said average of the parameters related to the energies of the Doppler or time shift signals and energy weighted averages of parameters related to mean velocity and variance of velocity of said moving objects for a first pixel location in a first frame from the set of parameters estimated from signal values of the first frame and from sets of parameters estimated from signal values for a plurality of second pixel locations adjacent to the first pixel location.

Claim 18

The apparatus of claim 16, said device including a non-recursive filter.

Claim 19

The apparatus of claim 17, said non-recursive filter including: an adder; and a feedforward signal path including a frame delay circuit for supplying as an input value, a parameter related to the energy, mean velocity or variance of velocity at said first pixel location, to the adder for adding to said input value parameters related to the energies, mean velocities or variances of velocity at the second pixel locations.

Claim 20

The apparatus of claim 1, wherein each of said Doppler or time shift signals represents information as a set of signal values at a particular pixel location in a frame in a time sequence of frames of the same size, wherein said device derives a temporal weighted average of the mean velocity related parameters and/or a temporal weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 21

The apparatus of claim 1, wherein each Doppler or time shift signal represents information as a set of signal values at a corresponding pixel location of a plurality of pixel locations in a frame, wherein said device derives a spatial weighted average of the mean velocity related parameters and/or a spatial weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 24

The apparatus of claim 21, wherein each of said Doppler or time shift signals represents information as a set of signal values at a particular pixel location in a frame in a time sequence of frames of the same size, wherein said device derives a temporal weighted average of the mean velocity related parameters and/or a temporal weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 25

The apparatus of claim 21, wherein each Doppler or time shift signal represents information as a set of signal values at a corresponding pixel location of a plurality of pixel locations in a frame, wherein said device derives a spatial weighted average of the mean velocity related parameters and/or a spatial weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 30

The method of claim 25, wherein said estimating step estimates from each of said Doppler or time shift signals a parameter related to energy of said Doppler or time shift signal, wherein said deriving step also sets weighted averages of the mean velocity related and the variance of velocity related parameters as functions of a weighted average of energy related parameters of the Doppler or time shift signals by means of said weight or weights.

Claim 31

The method of claim 26, further comprising discriminating the weighted averages of the energy, mean velocity and variance of velocity related parameters in reference to predetermined thresholds.

Claim 32

The method of claim 26, wherein said estimating step estimates and said deriving step operates on the logarithms of the energy values of the Doppler or time shift signals, and said deriving step derives the weighted average of the logarithms of the energy values of the Doppler or time shift signals.

Claim 33

The method of claim 26, wherein each of said Doppler or time shift signals represents information as a set of signal values at a particular pixel location in a frame in a time sequence of frames of the same size, said estimating step estimating, from each set of signal values a corresponding set of three parameters related respectively to mean velocity, variance of velocity and energy of the corresponding Doppler or time shift signal, said deriving step deriving averages of parameters related to the mean velocity, variance of velocity and energy of Doppler or time shift signals from said sets of signal values for said pixel location, where a kth Doppler or time shift signal in the sequence corresponds to a kth set of signal values and a kth frame, k being a positive integer, said deriving step deriving for the kth Doppler or time shift signal and kth frame an average ENE k of the parameter related to the energies of the Doppler or time shift signals, said average being given by ##EQU14## where ENE k-n NEW is the parameter estimated by the estimating step from the (k-n)th set of signal values corresponding to the (k-n)th Doppler or time shift signal and (K-n)th frame, n being a non-negative integer smaller than k, ENE k-n being the average of parameters related to the energies of the Doppler or time shift signals derived by the deriving step for the (k-n)th Doppler or time shift signal and (k-n)th frame; a n , a n , L, N being predetermined constants, and L, N being positive integers.

Claim 34

The method of claim 29, wherein the deriving step derives the energy weighted averages VEL k , VAR k of parameters related respectively to mean velocity and to variance of velocity for the kth Doppler or time shift signal and frame according to the following relations: ##EQU15## where VEL k-n NEW is the parameter related to mean velocity estimated from the (k-n)th Doppler or time shift signal by the estimating step, VAR k-n NEW is the parameter related to variance of velocity estimated from the (k-n)th Doppler or time shift signal by the estimating step, VEL k-n is the averaged parameter related to mean velocity derived for the (k-n)th Doppler or time shift signal by the deriving step, VAR k-n is the averaged parameter related to variance of velocity derived for the (k-n)th Doppler or time shift signal by the deriving step, and β k ,n, β k ,n are given by: ##EQU16##

Claim 35

The method of claim 29, wherein L has the value 0 and N has the value 1.

Claim 36

The method of claim 29, wherein L has the value 1 and all ENE k-n terms are omitted.

Claim 37

The method of claim 26, wherein each Doppler or time shift signal represents information as a set of signal values at a corresponding pixel location of a plurality of pixel locations in a frame, said estimating step estimating from each set of signal values at each pixel location a corresponding set of three parameters related respectively to mean velocity, variance of velocity and energy of the corresponding Doppler or time shift signal, said deriving step deriving an average ENE x ,y of parameters related to energy of input signals for a pixel location (x,y), as a weighted average of the estimated parameters by the estimating step from a plurality of sets of signal values at the corresponding plurality of pixel locations in a domain in said frame, said domain including the pixel location (x,y).

Claim 38

The method of claim 33, said deriving step deriving the average ENE x ,y according to: ##EQU17## where N, M are positive odd integers, or where N, M are positive even integers, then according to one of the following two relations: ##EQU18## wherein n, m are integers, a m ,n are constants and ENE x-m ,y-n NEW the estimated parameter related to energy of the Doppler or time shift signal corresponding to the (x-m,y-n) pixel location.

Claim 39

The method of claim 34, said deriving step deriving averages VEL x ,y VAR x ,y of parameters related to the mean velocity, variance of velocity for pixel location (x,y) according to the following: ##EQU19## where VEL x-m ,y-n NEW , VAR x-m ,y-n NEW are the estimated parameter related respectively to the mean velocity and variance of velocity for pixel location (x-m,y-n).

Claim 40

The method of claim 34, wherein N, M are equal to 3.

Claim 41

The method of claim 26, wherein said Doppler or time shift signals represent information in the form of frames of sets of signal values at different pixel locations of the frames, each set corresponding to a pixel location of a frame, and wherein said frames are supplied to the method sequentially, said frames including a current frame and at least one previous frame supplied to the method before said current frame, said deriving step deriving said average of the parameters related to the energies of the Doppler or time shift signals and energy weighted averages of parameters related to mean velocity and variance of velocity of said moving objects for a pixel location in the current frame from the set of parameters estimated from signal values for said pixel location of the current frame and from the averaged parameters from signal values for said pixel location of at least one previous frame.

Claim 42

The method of claim 26, wherein said Doppler or time shift signals represent information in the form of frames of sets of signal values at different pixel locations of the frames, said deriving step deriving said average of the parameters related to the energies of the Doppler or time shift signals and energy weighted averages of parameters related to mean velocity and variance of velocity of said moving objects for a first pixel location in a first frame from the set of parameters estimated from signal values of the first frame and from sets of parameters estimated from signal values for a plurality of second pixel locations adjacent to the first pixel location.

Claim 43

The method of claim 25, wherein each of said Doppler or time shift signals represents information as a set of signal values at a particular pixel location in a frame in a time sequence of frames of the same size, said deriving step deriving a temporal weighted average of the mean velocity related parameters and/or a temporal weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 44

The method of claim 25, wherein each Doppler or time shift signal represents information as a set of signal values at a corresponding pixel location of a plurality of pixel locations in a free, said deriving step deriving a spatial weighted average of the mean velocity related parameters and/or a spatial weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 47

The method of claim 41, wherein each of said Doppler or time shift signals represents information as a set of signal values at a particular pixel location in a frame in a time sequence of frames of the same size, said deriving step deriving a temporal weighted average of the mean velocity related parameters and/or a temporal weighted average of the variance of velocity related parameters from said Doppler or time shift signals.

Claim 48

The method of claim 41, wherein each Doppler or time shift signal represents information as a set of signal values at a corresponding pixel location of a plurality of pixel locations in a frame, said deriving step deriving a spatial weighted average of the mean velocity related parameters and/or a spatial weighted average of the variance of velocity related parameters from said Doppler or time shift signals.