JPH0746459A - Video camera having camera shake correction device - Google Patents

Abstract

PURPOSE:To prevent malfunction by obtaining a count value from a difference between chrominance signal integration data of a certain area and chrominance signal integration data of an area adjacent to the former area in the horizontal and vertical directions so as to discriminate the necessity of camera shake correction. CONSTITUTION:An image in an optionally extracted area 66 in an image field 44 is zoomed by an electronic zoom circuit 70 to form a correction enable range 68. An object is moved in the field 44 by a picture shake due to camera- shake of a video camera 10. Then the area 66 for each field is moved in response to a total motion vector calculated by a microcomputer 26 to set an object within the area 66. However, when a camera-shake correction stop signal is given from the microcomputer 26 to a memory control circuit 22, the circuit 22 decides a read start address so that the area 66 is fixed to the center of a field memory 24 and commands the camera-shape correction stop to the memory 24. Thus, an output signal of the circuit 70 is converted into an analog signal by a D/A converter 72 and the analog signal is outputted from an output terminal 74.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a video camera having a camera shake correction device, and more particularly to a video camera having a camera shake correction device which is used, for example, as a VTR with a built-in camera for consumer use.

[0002]

2. Description of the Related Art An example of a method for detecting a shake component of an image pickup apparatus was announced by Matsushita Electric Industrial Co., Ltd. at the 20th Imaging Engineering Conference in 1989. This method
JP-A-61-201581 [H04N 7/137]
The motion vector obtained from the representative point matching method described in the publication is used to detect the shake component of the imaging device from the image information. In this presentation, camera shake correction is performed based on the motion vector obtained from the image information.

That is, in this case, four detection areas of the screen are arranged, and four partial motion vectors are obtained from one screen. Then, the arithmetic mean of the partial motion vectors of these four detection areas is used as the overall motion vector of the screen,
Of the four partial motion vectors, the camera shake is corrected by using the arithmetic mean of the middle two partial motion vectors as the overall motion vector of the screen.

In order to perform the camera shake correction accurately, it is necessary to accurately grasp the state of the image. For example, a subject having a repeating pattern has been detected as follows. That is, by detecting the absolute value of the difference between the correlation values of the pixel having the minimum correlation value and the surrounding four pixels, the presence / absence of a repeated pattern is detected, and the necessity of camera shake correction is determined. Was there. If the repeated pattern is detected, the camera shake is not corrected, and if the repeated pattern is not detected, the camera shake is corrected.

[0005]

However, this detection method may not be able to detect repetitive patterns. Therefore, even if the subject has a repeating pattern, the camera shake is corrected, and there is a case where the camera shake cannot be accurately corrected, for example, the shake of the image cannot be stopped due to a malfunction.

Therefore, a main object of the present invention is to provide a video camera having a camera shake correction device capable of correcting camera shake more accurately.

[0007]

SUMMARY OF THE INVENTION A first aspect of the invention is an integrating means for accumulating color signal levels for each area formed by dividing a screen to obtain color signal integrated data, and for each area horizontally. First arithmetic means for obtaining a difference in color signal integrated data between adjacent areas, second arithmetic means for obtaining a difference in color signal integrated data between areas adjacent to each other in the vertical direction, first arithmetic operation First counting means for counting the number of areas in which the difference obtained by the means is smaller than the first threshold value, second counting means for counting the number of areas in which the difference obtained by the second calculating means is less than the second threshold value, and first A video camera having a camera shake correction device, comprising means for determining whether or not camera shake correction is required based on the count value of the count means and the count value of the second count means.

A second aspect of the invention is an integrating means for integrating the brightness signal level for each area formed by dividing the screen to obtain brightness signal integrated data, and between each area and a horizontally adjacent area. The first arithmetic means for obtaining the difference in the luminance signal integrated data by the second arithmetic means, the second arithmetic means for obtaining the difference in the luminance signal integrated data between vertically adjacent areas for each area, and the difference obtained by the first arithmetic means are A first counting means for counting the number of areas smaller than the first threshold, a second counting means for counting the number of areas where the difference obtained by the second computing means is smaller than the second threshold, and a count value of the first counting means. A video camera having a camera shake correction device, which is provided with means for determining whether or not camera shake correction is necessary based on the count value of the second counting means.

[0009]

First, the color signal level is sampled at a predetermined sampling frequency. The color signal levels are integrated by a predetermined number which is continuous in time series to obtain color signal integrated data. This color signal integrated data is calculated for each area. Then, the difference between the color signal integrated data of a certain area and the color signal integrated data of an area horizontally adjacent to the area is obtained by the first calculation means. This difference is also calculated for each area. Also,
The difference between the color signal integrated data of a certain area and the color signal integrated data of the area vertically adjacent to the area is calculated by the second calculation means. This difference is also calculated for each area. The first counting means counts the number of areas in which the difference calculated by the first calculating means is smaller than the first threshold, and the second counting means counts the number of areas in which the difference calculated by the second calculating means is smaller than the second threshold. Count with. Then, for example, based on the ratio between the count value of the first counting means and the count value of the second counting means, it is determined whether or not the subject has a repeating pattern. If it is determined that the subject has a repeating pattern, the camera shake correction is stopped, and if it is determined that the subject has a repeating pattern, the camera shake correction is performed.

Similar processing is performed using the luminance signal level.

[0011]

According to the present invention, the presence / absence of a subject having a repetitive pattern for which the correlation value is not correct can be determined more accurately by using the color signal level and the luminance signal level.
You can prevent malfunctions when there are repeated patterns on the subject,
More accurate camera shake correction can be realized.

The above-mentioned objects, other objects, features and advantages of the present invention will become more apparent from the detailed description of the embodiments below with reference to the drawings.

[0013]

DESCRIPTION OF THE PREFERRED EMBODIMENTS A video camera 10 of this embodiment shown in FIG.
Includes a solid-state image sensor 12 such as a CCD that converts an optical signal from a subject (not shown) input from the lens 14 into an electric signal. The electric signal from the solid-state image sensor 12 is input to the camera circuit 16. As is well known, the camera circuit 16 includes a sample hold circuit, and includes the solid-state image sensor 1
Sample and hold the electrical signal from 2. The level of the sampled and held electric signal is adjusted by the AGC, and the synchronizing signal is further added by the synchronizing signal adding circuit. In this way, the camera circuit 16 converts the image signal from the solid-state image sensor 12 into an analog video signal. This analog video signal is
It is converted into a digital video signal by the / D converter 18. The digital video signal is supplied to the motion detection circuit 20. As the motion detection circuit 20, for example, an LSI "L7A0948" manufactured by Sanyo Electric Co., Ltd. is used.
Under the control of the memory control circuit 22 included in the same LSI configuring the motion detection circuit 20, the digital video signals are field-sequentially written in the field memory 24.

The motion detecting circuit 20 gives the highest degree of correlation (minimum correlation value) to each of the four detection areas A, B, C and D shown in FIG. 3 by using, for example, a well-known representative point matching method. The positions of one point and four points around it and the respective correlation values are calculated. The position data and the correlation value data from the motion detection circuit 20 are stored in the microcomputer 26.
Given to.

That is, referring to FIG. 2, motion detection circuit 20 includes an input end 28 for receiving the digital video signal from A / D converter 18, and the digital video signal input from this input end 28 is filtered. It is given to the representative point memory 32 and the subtraction circuit 34 through 30. The filter 30 is a kind of digital low-pass filter,
It is used to improve the S / N ratio and secure sufficient detection accuracy with a small number of representative points. The representative point memory 32 extracts a plurality of representative points within the range of each of the detection areas A to D shown in FIG. 3 (in this embodiment, 30 of each of the detection areas A to D is extracted).
Therefore, 30 representative points are divided, and the position data and luminance data are stored. Each detection area 42 (FIG. 4) formed by dividing into 30 is composed of, for example, 32 pixels × 16 rows.

The subtracting circuit 34 receives the luminance data of the representative point of the previous field given from the representative point memory 32 and the input terminal 2.
The luminance data of all the pixels of the current field given from 8 is subtracted, and the absolute value is taken. That is, the brightness difference between the brightness data of the current field and the brightness data of the previous field is obtained. The obtained brightness difference is given to the cumulative addition circuit 36. The cumulative addition circuit 36 cumulatively adds (30 in this embodiment) the brightness differences obtained for the pixels at the same position in each detection area 42 in the same detection area, and outputs the correlation value data. The correlation value data is given to the arithmetic circuit 38. The arithmetic circuit 38 calculates the minimum correlation value and the average correlation value for each detection area A-D, and the position data of the pixel indicating the minimum correlation value is detected in each detection area. Calculate for each A-D. The minimum correlation value, average correlation value, and position data thus obtained are output from the output terminal 40 to the microcomputer 2 described above.
Given to 6. However, the calculation of such correlation value is
It is executed by the LSI "L7A0948" described above.

Then, in the microcomputer 26,
Based on the position data and the correlation value data, the motion vector of the entire screen, that is, the image field 44 (FIG. 3) (hereinafter, simply referred to as “whole motion vector”) is calculated. First, based on the position data of the pixel having the minimum correlation value, the shift of the pixel having the minimum correlation value with respect to the representative point is obtained, and the shift is set as the partial motion vector. In order to improve the detection accuracy of the partial motion vector, interpolation interpolation is performed using the correlation values of the four pixels surrounding the pixel having the minimum correlation value,
Compute the position data for the pixel with the smallest correlation value.

Then, the microcomputer 26 determines whether the value obtained by dividing the average correlation value by the minimum correlation value is less than or equal to a certain threshold value, whether the average correlation value is more than a predetermined value, and the minimum value described later. Whether or not X is a predetermined value P or more (so-called inclination) is detected for each detection area A-D, and the partial motion vector from each detection area A-D is not erroneously detected by a moving object other than camera shake. It is determined whether or not it is reliable, that is, whether or not each detection area AD is an effective area. Further, the microcomputer 26 detects whether or not a minimum value X described later is a predetermined value P or more for each detection area A-D,
This is a method of detecting a subject having a repeating pattern. If the value obtained by dividing the average correlation value by the minimum correlation value is less than or equal to a certain threshold value, the average correlation value is less than or equal to a predetermined value, and the minimum value X is greater than or equal to a predetermined value P, the detection area is determined to be a valid area. It

Specifically, it is determined as follows whether or not the area is the effective area. First, when the screen contrast is low, the brightness difference is small, so the correlation value is small. For example, the correlation value is small when the entire screen is white. In such a case, the reliability is lost, so the average correlation value ≧
When the value is a predetermined value, it is determined to be valid. The predetermined value is determined by experiment. In this way, it is determined from the average correlation value whether or not the contrast is low.

Further, when there is a moving object in the detection area, the correlation value is different between the part occupied by the moving object and the part not occupied, and the part occupied by the moving object has various correlation values, and the correlation value is generally Is relatively large (the degree of correlation is low). Therefore, when there is a moving object in the detection area, the minimum correlation value is likely to be large, and the partial motion vector in the detection area may be erroneously detected. If the partial motion vector is erroneously detected, the whole motion vector is erroneously detected. However, when the average correlation value is large, it is reliable even if the minimum correlation value is large to some extent. On the other hand, when the average correlation value is small, the minimum correlation value must be smaller to be reliable. Therefore, specifically, (average correlation value)
When / (minimum correlation value)> 7, it is determined to be valid, and the partial motion vector of the detection area that does not satisfy this condition is not used to prevent the above-mentioned adverse effects due to erroneous detection. In this way, (average correlation value) / (minimum correlation value) is calculated,
Determine if there is a moving object.

Further, in the microcomputer 26,
In order to detect a subject having a repetitive pattern, the correlation value of one point having the minimum correlation value and the four surrounding points are used. That is, as shown in FIG. 5, if the minimum correlation value is M and the correlation values at the four points on the left, right, top, and bottom are L, R, U, and D, respectively, the difference between the correlation values, that is, LM, R-. M, U-M
And D−M are calculated, and the minimum value of them is set as X, and the minimum value X is compared with a predetermined value P (P = 4 in this embodiment) obtained by the field test. Minimum value X
However, if it is greater than or equal to the predetermined value P, the detection area is determined to be a valid area, and if smaller than the predetermined value P, the detection area is determined to be an invalid area.

Based on these three conditions, it is judged whether or not the detection area is the effective area. Then, the average of the partial motion vectors in the effective area is calculated and used as the amount of motion between fields, that is, the total motion vector. The overall motion vector represents the amount of motion between fields and its direction. Further, the microcomputer 26 is supplied with the color signal integrated data and the luminance signal integrated data from the integrated data generation circuit 46 in order to detect a subject having a repeating pattern.

Referring to FIG. 6, integrated data generating circuit 46
Is an input terminal 4 that receives an electric signal from the solid-state image sensor 12.
An electric signal including 8 is input by the color separation circuit 50 as an R, G and B primary color signal. After that, the three primary color signals are processed by a color process & matrix circuit (hereinafter, simply referred to as "color process circuit").
52) to generate luminance signals Y and color difference signals RY and BY of red and blue, respectively. The luminance signal Y and the two color difference signals R-Y and B-Y are switched by the selection circuit 54 for each field, and A / D
After being digitized by the converter 56, it is integrated by the adder 58. The adder 58 processes as follows.

First, as shown in FIG. 7, the entire screen, that is, the image field 44 is divided into 64 regions of 8 × 8. Here, for convenience, in each area from the upper left corner (1),
Numbers are given as (2), (3), ..., (64). For example, to describe the (i) th area, the luminance signal Y, the color difference signals RY and BY are sampled at 3.58 MHz, and the luminance signal Y and the color difference signal R− are sampled in the (i) th area. The Y and BY digital data are respectively integrated to obtain color signal integrated data and luminance signal integrated data. At this time, the luminance signal integrated data and the color signal integrated data are obtained by integrating a predetermined number (27 in this embodiment) of the digital data of the luminance signal Y and the color difference signals RY and BY. This process is performed on all 64 areas. The luminance signal integrated data and the color signal integrated data are output from the output terminal 60 and are respectively stored in the memory (not shown) of the microcomputer 26.
Stored in.

The microcomputer 26 uses the luminance signal integrated data and the color signal integrated data stored in the memory to determine whether or not a subject having a repetitive pattern is included in the image field 44, and thereby shakes. Determine whether to make a correction. First, the difference between the color signal integrated data and the brightness signal integrated data of the (i) th area and the color signal integrated data and the brightness signal integrated data of the (i-1) th area adjacent to the left side of the area is obtained. , And thresholds a, b and c obtained by experiments, respectively. That is, it is determined whether or not the condition of Expression 1 is satisfied.

[0026]

## EQU1 ## | (RY) _i- (RY) _i-1 | <a | (BY) _i- (BY) _i-1 | <b | Y _i- Y _i-1 | <C Here, (RY) _i and (BY) _i are color signal integrated data of the (i) th area, respectively, and (RY) _i−1.
And (BY) _i-1 are color signal integrated data of the (i-1) th area. Further, Y _i is the luminance signal integrated data of the (i) th area, and Y _i-1 is the luminance signal integrated data of the (i-1) th area.

In this embodiment, in the equation 1, a
= 16, b = 16, and c = 4 to 8. If all the conditions of Expression 1 are satisfied, it is counted up assuming that the condition of the area in the horizontal direction is satisfied. This calculation is performed for each area.
The same processing is also performed in the vertical direction. In the vertical direction, the operation is performed by comparing the (i) th area with the (i-8) th area immediately above, and when the condition of Expression 2 is satisfied, the vertical condition is satisfied. To count up.

[0028]

## EQU2 ## | (RY) _i- (RY) _i-8 | <a | (BY) _i- (BY) _i-8 | <b | Y _i- Y _i-8 | <C Here, (RY) _i and (BY) _i are color signal integrated data of the (i) th area, respectively, and (RY) _i-8.
And (BY) _i-8 are color signal integrated data of the (i-8) th area. Further, Y _i is the luminance signal integrated data of the (i) th area, and Y _i-8 is the luminance signal integrated data of the (i-8) th area.

In this embodiment, in Equation 2, a
= 16, b = 16, and c = 4 to 8. Then, of the total count value in the horizontal direction and the total count value in the vertical direction, the larger value is divided by the smaller value, and when the calculation result is equal to or greater than a predetermined value (for example, 2), It is determined that a subject having a repeating pattern is in the image field 44, and a camera shake correction stop signal is output to stop camera shake correction. On the other hand, when the calculation result is smaller than the predetermined value, it is determined that there is no subject having a repeating pattern in the image field 44, and camera shake correction is performed.

The switching signal of the selection circuit 54 and the address of the memory in the microcomputer 26 by the adder 58 are created by the sync separation circuit 62 and the timing circuit 64. The overall motion vector thus obtained and the stop signal for camera shake correction are given to the memory control circuit 22. The image stabilization stop signal is output when the image stabilization is stopped. Then, the memory control circuit 22 determines the read start address of the field memory 24 based on the overall motion vector, and reads the digital video signal stored in the field memory 24 from the address. That is, the memory control circuit 22
Moves in the extraction area 66 formed by the digital video signal of the field memory 24 according to the overall motion vector calculated by the microcomputer 26.

However, if the digital video signal read from the field memory 24 is used as it is, the extraction area 6
Since 6 cannot be moved, electronic zoom circuit 70 (FIG. 1) is used. Referring to FIG. 8, the electronic zoom circuit 70 sets the extraction area 66 in which the image is enlarged according to the zoom magnification with respect to the size of the image field 44. The position of the extraction area 66 can be freely moved within the range of the image field 44 by changing the read start address of the field memory 24. And
In order to obtain the video signal of the entire image field 44 based on the extracted digital video signal, the image is enlarged by using the interpolation method based on the digital video signal read from the field memory 24.

In this way, the image field 44
By electronically zooming the image of an arbitrary extraction area 66 in the electronic zoom circuit 70, a correctable range 68 corresponding to the difference between the image field 44 and the extraction area 66 can be formed. When the video camera 10 is shaken as shown in FIG. 9 in response to the vibration of the hand of the person who operates the video camera 10, the image from the video camera 10 is shaken, resulting in the image field 44.
If the target person exists in the lower left of the inside (Fig. 9 top),
For example, there is a case where the target person exists at the upper right of the image field 44 (bottom of FIG. 9). Therefore, the extraction area 66 is set for each field and the microcomputer 26
By moving in accordance with the overall motion vector calculated by, the target person will fit exactly in the extraction area 66 as shown on the right side of FIG.

However, a stop signal for stopping the image stabilization is sent from the microcomputer 26 to the memory control circuit 22.
Memory control circuit 22 causes the extraction area 6
The read start address is determined so that 6 is fixed to the center of the field memory 24. That is, an instruction is given to the field memory 24 so as not to perform camera shake correction. In this way, the digital video signal output from the electronic zoom circuit 70 is converted into an analog signal by the D / A converter 72 and output from the output terminal 74.

The main operation of the video camera 10 will be described with reference to FIG. Step S1 shown in FIG.
In the microcomputer 26, each area (A-
For each D), it is determined from the average correlation value and the minimum correlation value whether the area is a valid area or an invalid area. That is, the microcomputer 26 determines whether or not the partial motion vector detected from each area (A-D) is caused by camera shake, that is, whether or not a partial motion vector effective for the determination of camera shake is detected. As described above, the contrast is determined based on the average correlation value, the presence or absence of a moving object is determined based on the average correlation value / minimum correlation value, and it is determined whether each detection area (A-D) is a valid area or an invalid area.

Then, in step S3, the microcomputer 26 detects the so-called inclination as described above by using the minimum correlation value and the correlation values of the four points around the detection area (A-D). To do. Then, the presence or absence of a subject having a repetitive pattern is determined based on the inclination (that is, whether the minimum value X is equal to or greater than the predetermined value P), and it is determined whether the detection area is a valid area or an invalid area. Then, in step S5, the average of the partial motion vectors in the effective area is calculated and used as the overall motion vector.

Then, in step S7, the brightness signal integrated data of the brightness signal Y integrated by the integrated data generation circuit 46 in the microcomputer 26 as described above,
When the color signal integrated data of each of the color signals R-Y and B-Y is compared with the region adjacent to the left in the horizontal direction and the region adjacent to the upper in the vertical direction, respectively, and the difference does not exceed a predetermined value. To count. This process is executed for each area shown in FIG. However, the leftmost row, that is, (1), (9), (17), (25), (33), (4
For the areas 1), (49), and (57), the area on the left of the areas does not exist, so horizontal comparison is not executed. Therefore, the horizontal comparison is performed for a total of 56 regions. Similarly, the top row (1)-
For each area in (8), there is no area above it, so no vertical comparison is performed. Therefore,
Vertical comparisons are also performed for a total of 56 regions.

In step S9, the microcomputer 26 divides the larger of the horizontal total count value and the vertical total count value by the smaller one, and the calculated result is determined in step S11. If it is larger than the value, a stop signal for camera shake correction is output from the microcomputer 26 to the memory control circuit 22. Then, in step S13, the memory control circuit 22
Gives an instruction to the field memory 24 not to perform camera shake correction, and the camera shake correction is stopped. On the other hand, step S1
If the calculation result is smaller than the predetermined value in 1, the microcomputer 26 does not output the camera shake correction stop signal, and the process proceeds to step S15. In step S15, the memory control circuit 22 determines the extraction area 6 according to the overall motion vector given from the microcomputer 26.
Move 6 to correct the camera shake.

The method of using the total count value in the horizontal direction and the total count value in the vertical direction is not limited to that in the above-described embodiment. For example, the difference between one total count value and the other total count value. The shake correction may be stopped when is equal to or larger than a predetermined value, or the shake correction may be stopped when one or both of the two total count values is equal to or larger than the predetermined value.

Further, the integrated data may be compared with the area adjacent to the right in the horizontal direction and the area adjacent to the lower in the vertical direction.

[Brief description of drawings]

FIG. 1 is a block diagram showing an embodiment of the present invention.

FIG. 2 is a block diagram showing a motion detection circuit of the embodiment in FIG.

FIG. 3 is an illustrative view showing a detection region in an image field, showing the principle of electronic zoom.

FIG. 4 is an illustrative view showing a representative point and a sampling point in a detection region, showing the principle of electronic zoom.

FIG. 5 is an illustrative view for explaining a method of detecting a subject having a repetitive pattern by using a pixel having a minimum correlation value and four pixels around the pixel.

FIG. 6 is a block diagram showing an integrated data generation circuit of the embodiment shown in FIG.

[FIG. 7] In order to detect a subject having a repeating pattern,
It is an illustration figure which shows the state which divided the image field into 64.

FIG. 8 is an illustrative view showing the principle of camera shake correction.

FIG. 9 is an illustrative view showing each block in an image field to which the representative point matching method is applied.

FIG. 10 is a flowchart showing main operations of this embodiment.

[Explanation of symbols]

 10 Video camera 20 Motion detection circuit 22 Memory control circuit 24 Field memory 26 Microcomputer 44 Image field 46 Integrated data generation circuit 66 Extraction area 70 Electronic zoom circuit

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[Procedure amendment]

[Submission date] September 13, 1994

[Procedure Amendment 1]

[Document name to be amended] Statement

[Name of item to be corrected] 0003

[Correction method] Change

[Correction content]

[0003] That is, in this case, are arranged four detection areas on the screen, to obtain a four motion vectors from one screen. Then, the arithmetic mean of the partial motion vectors of these four detection areas is used as the overall motion vector of the screen,
Of the four partial motion vectors, the camera shake is corrected by using the arithmetic mean of the middle two partial motion vectors as the overall motion vector of the screen.

[Procedure Amendment 2]

[Document name to be amended] Statement

[Correction target item name] 0009

[Correction method] Change

[Correction content]

[0009]

First, the color signal level is sampled at a predetermined sampling frequency. The color signal levels are integrated by a predetermined number which is continuous in time series to obtain color signal integrated data. This color signal integrated data is calculated for each area. Then, the difference between the color signal integrated data of a certain area and the color signal integrated data of an area horizontally adjacent to the area is obtained by the first calculation means. This difference is also calculated for each area. Also,
The difference between the color signal integrated data of a certain area and the color signal integrated data of the area vertically adjacent to the area is calculated by the second calculation means. This difference is also calculated for each area. The first counting means counts the number of areas in which the difference calculated by the first calculating means is smaller than the first threshold, and the second counting means counts the number of areas in which the difference calculated by the second calculating means is smaller than the second threshold. Count with. Then, for example, based on the ratio between the count value of the first counting means and the count value of the second counting means, it is determined whether or not the subject has a repeating pattern. If it is determined that the subject has a repeating pattern, image stabilization is stopped and the subject with a repeating pattern is detected .
If it is determined that there is no camera shake correction.

[Procedure 3]

[Document name to be amended] Statement

[Correction target item name] 0018

[Correction method] Change

[Correction content]

Then, the microcomputer 26 determines that the value obtained by dividing the average correlation value by the minimum correlation value is larger than a certain threshold value.
Whether you heard, whether the average correlation value or a predetermined value or more, and the minimum value X described later detects whether more than a predetermined value P (so-called tilt) in each detection area A-D, It is determined whether the partial motion vector from each detection area A-D is reliable without being erroneously detected by a moving object other than camera shake, that is, whether each detection area A-D is an effective area. Further, the microcomputer 26 detects whether or not a minimum value X described later is a predetermined value P or more for each detection area A-D,
This is a method of detecting a subject having a repeating pattern. The value obtained by dividing the average correlation value by the minimum correlation value is larger than a certain threshold.
If the average correlation value is equal to or larger than the predetermined value and the minimum value X is equal to or larger than the predetermined value P, the detection area is determined to be the effective area.

[Procedure amendment 4]

[Document name to be amended] Statement

[Name of item to be corrected] Figure 3

[Correction method] Change

[Correction content]

FIG. 3 is an illustrative view showing a principle of electronic zoom and showing a detection region in an image field.

[Procedure Amendment 5]

[Document name to be amended] Statement

[Name of item to be corrected] Fig. 4

[Correction method] Change

[Correction content]

FIG. 4 is an illustrative view showing a principle of electronic zoom and showing representative points and sampling points in a detection area.

Claims (2)

[Claims] 1. An integrating means for accumulating color signal levels for each area formed by dividing a screen to obtain color signal integrated data, said color between each of the areas being horizontally adjacent to each other. First calculating means for obtaining a difference in signal integrated data; second calculating means for obtaining a difference in the color signal integrated data between each of the areas and a vertically adjacent area; and a difference obtained by the first calculating means A first counting means for counting the number of areas smaller than a first threshold, a second counting means for counting the number of areas where the difference obtained by the second computing means is smaller than a second threshold, and the first
A video camera having a camera shake correction device, comprising means for determining whether or not camera shake correction is necessary based on a count value of a count means and a count value of the second count means. 2. An integrating means for integrating brightness signal levels for each area formed by dividing a screen to obtain brightness signal integration data, said brightness for each area being adjacent to a horizontally adjacent area. First calculating means for obtaining a difference in signal integrated data, second calculating means for obtaining a difference in the luminance signal integrated data between vertically adjacent areas for each area, difference obtained by the first calculating means A first counting means for counting the number of areas smaller than a first threshold, a second counting means for counting the number of areas where the difference obtained by the second computing means is smaller than a second threshold, and the first
A video camera having a camera shake correction device, comprising means for determining whether or not camera shake correction is necessary based on a count value of a count means and a count value of the second count means.