JP2018142939A - Imaging device, imaging system, method for controlling the same, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide, in an omnidirectional camera including a wide angle lens, means that, even when designated to distribute videos corresponding to different display modes to a plurality of users, can photograph a video with an optimal photographing parameter according to the combination of the display modes.SOLUTION: An omnidirectional camera including a wide angle lens comprises: means that performs distortion correction processing adapted to a display mode designated by a user; and means that designates an evaluation area for calculating an evaluation value to determine a photographing parameter for lens control and image processing, and the omnidirectional camera changes the evaluation area on the basis of the combination of the display modes (i.e., distortion correction processing) designated by the user.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an imaging apparatus, an imaging system, a control method thereof, and a program, and more particularly to setting of an evaluation area of an image signal used for camera control at the time of photographing an object.

  Conventionally, an omnidirectional camera equipped with a wide-angle lens has been penetrating as one type of surveillance camera. One unit can monitor 360 °, which leads to reduction of the number and cost. Further, in addition to outputting an omnidirectional camera fisheye image (omnidirectional image) as it is, a camera that can output images and videos subjected to distortion correction processing corresponding to a plurality of types of display forms is generally used. In addition, when using various Video Content Analysis (hereinafter referred to as VCA) such as human body detection or moving body detection, an image obtained by performing distortion correction on a fisheye image (omnidirectional image) is often used. Further, it is one of the features that a plurality of images that have been subjected to a plurality of types of distortion correction processing can be output, and monitoring according to the shooting environment and the installation environment can be performed.

  In a configuration in which a clipping range (display range) can be set with an omnidirectional camera, Patent Document 1 calculates image processing parameters for each divided region in a captured image after distortion correction, and performs mixed correction on the image in the clipping region. A method of performing is disclosed.

JP2015-226149A

  However, Patent Document 1 describes only a configuration for performing distortion correction processing so as to correct the entire omnidirectional image into one rectangle, and does not disclose a case of performing other different distortion correction. That is, when a camera image with different distortion correction is requested by the user, camera control such as exposure control and image processing may not be performed properly.

  Therefore, an object of the present invention is to provide means capable of optimal camera control for an output video in a configuration capable of outputting a video having been subjected to a plurality of different distortion correction processes.

  In order to achieve the above object, the present invention provides an imaging unit that images a subject to generate an image signal, an evaluation value calculation unit that calculates an evaluation value from the image signal, and an area that is evaluated by the evaluation value calculation unit Evaluation area setting means for setting the image, control means for controlling the imaging means according to the result of the evaluation value calculation means, and distortion correction means for performing one or more distortion correction processes on the image signal, And the evaluation area setting means changes the evaluation area in accordance with the type of the one or more distortion correction processes.

  According to the present invention, it is possible to realize optimal camera control for a video to be output in a configuration capable of outputting a video subjected to a plurality of different types of distortion correction processing.

The figure which shows the structural example of the imaging system which concerns on embodiment of this invention. The figure which shows the structural example of the imaging part of the imaging device which concerns on embodiment of this invention. Examples of types of video (stream) according to the embodiment of the present invention Example of image taken from ceiling to floor with omnidirectional camera according to an embodiment of the present invention Example of an image in which an omnidirectional image according to an embodiment of the present invention is displayed in a double panorama Examples of images output after distortion correction processing according to an embodiment of the present invention 6 is a flowchart showing processing for setting an evaluation area of the imaging apparatus according to the first embodiment. Example of an image in which an evaluation area is set when the distortion correction processing in FIGS. 4 and 5 according to the first embodiment is set Example of an image in which an evaluation area is set when the distortion correction processing in FIGS. 6 and 6 according to the first embodiment is set Example of an image in which an evaluation area is set in consideration of the evaluation areas of FIGS. 8 and 9 according to the first embodiment Table showing an example in which a plurality of types of distortion correction processing are selected for a plurality of videos according to the second embodiment The flowchart which shows the evaluation area setting process of the imaging system which concerns on the 2nd Embodiment of this invention. Example of an image when an arbitrary evaluation area is selected by the evaluation area selection unit according to the second embodiment Example of an image in which an evaluation area is set when distortion correction is selected by the distortion correction selection unit according to the second embodiment

  Hereinafter, an example of a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings. Hereinafter, a case where a camera is used as the imaging device will be described as an example.

  FIG. 1 is a diagram illustrating a configuration example of an imaging system according to the first embodiment. In FIG. 1, the imaging device 10 is connected to a client device 11 (information processing device) in a state where it can communicate with each other.

  An imaging unit 101 (imaging unit) included in the imaging apparatus 10 is an imaging unit (imaging unit) for capturing a subject image. In the imaging unit 101, an imaging element (not shown) converts light incident from a lens as an imaging optical system (not shown) into an electrical signal. The operation of the imaging unit 101 is controlled by the control unit 104 based on an evaluation value calculation result acquired by an evaluation value calculation unit 103 described later, an image recognition result by an image analysis unit (not shown), and subject information.

  The image generation unit 102 generates an image signal such as an RGB image or a YUV image from the luminance signal and the color signal output from the imaging unit 101.

  The evaluation value calculation unit 103 evaluates a predetermined area of the image signal generated by the image generation unit 102 and calculates an evaluation value. As the evaluation value, for example, a luminance component, a color component, an edge component, a contrast value, a noise component, aperture information, focus information, shake information, and the like can be calculated. Further, the evaluation value may be changed in weight for each area of the image signal.

  The control unit 104 controls the entire imaging apparatus 10 and controls imaging, image processing, video output, and the like. A CPU (computer) and a memory (ROM, RAM) (not shown) are provided, and the CPU controls each functional block of the image pickup apparatus 10 and performs a calculation necessary for the operation according to a computer program loaded from the memory. For example, exposure control and white balance control such as exposure time control in the image sensor 202 and gain control in the AGC 204 in the imaging unit 101 are controlled. Also, the zoom operation and focus operation of the lens 201 are controlled.

  The evaluation area setting unit 105 sets an evaluation area to be evaluated in order to calculate the evaluation value by the evaluation value calculation unit 103, and the imaging unit 101 or an image processing unit to be described later is set based on the signal of the set evaluation area. Parameters for controlling are determined. A plurality of areas can be set, and the weight for calculating the evaluation value may be changed according to the entire area, a predetermined area in the area, the distance from the center of the area, or the like.

  The image processing unit 106 includes, for example, digital signal processing (DSP), and performs various image processing such as color conversion on a digital signal, gamma processing that performs gradation conversion of a signal-processed image, and noise reduction processing. Do. The operation of the image processing unit 106 is controlled by the control unit 104 based on an evaluation value calculation result acquired by the evaluation value calculation unit 103, an image recognition result by an image analysis unit (not shown), and subject information.

  The distortion correction processing unit 107 performs distortion correction processing such as geometric transformation on the image subjected to image processing by the image processing unit 106.

  The distortion correction setting unit 108 sets the type of distortion correction performed by the distortion correction processing unit 107. The type of distortion correction can be set from the client device 11 (information processing device) via the communication unit 109. For example, the type of output video (stream) is selected by an external terminal, and the distortion correction setting unit 108 sets the type of distortion correction based on information on the type of the output video (stream). Further, for example, the type of distortion correction may be set based on an analysis function such as image recognition or moving object detection, or a region where the analysis function is set.

  The communication unit 109 outputs the requested image to the external terminal such as the client apparatus 11 (information processing apparatus), and distributes the video signal. The output destination of the image signal and the distribution destination of the video may be a display built in the camera or an independent external display. A plurality of video streams may be generated from the image signal and output. Further, it is used for outputting the state of the system and processing results to an external terminal via an external network, or inputting control information for controlling the operation of the system from the external terminal. The control unit 104 acquires information input via the communication unit 109 and controls each functional block based on the information.

  The client device 11 (information processing device) will be described below. The evaluation area selection unit 111 selects an arbitrary evaluation area on the image signal by a user operation.

  The distortion correction selection unit 112 selects a distortion correction type by a user operation.

  The display unit 113 displays the output from the output unit 109 of the imaging device 10 in an arbitrary display format.

  The communication unit 114 outputs information such as the selected evaluation area, distortion correction type or output video (stream) type information, an instruction to the imaging device 10, and an image analysis result to the imaging device 10. Further, the image signal output from the imaging device 10 is input and displayed on the display unit 113.

  Here, FIG. 2 is a diagram illustrating a configuration example of the imaging unit of the imaging apparatus according to the embodiment of the present invention. The imaging unit 101 includes a lens 201, an imaging element 202, a CDS circuit 203, an AGC 204, and an A / D conversion 205.

  The lens 201 is composed of several lens groups, and forms a subject image on the image sensor 202. The lens 201 may be a wide-angle lens or a fish-eye lens with a large distortion and a wide angle of view. In the present embodiment, the case of a fisheye lens will be described.

  The image sensor 202 is, for example, a CCD or a CMOS, and converts a subject image formed through a lens 201 as an imaging optical system into an electrical signal.

  A CDS circuit 203 (Correlated Double Sampling circuit) performs correlated double sampling processing that performs noise reduction on the electrical signal output from the image sensor 202.

  An AGC amplifier 204 (Automatic Gain Control circuit) is a gain control amplifier circuit that automatically controls the gain of the camera, and performs amplification processing on the electrical signal output from the CDS circuit 203.

  The A / D converter 205 converts the analog signal amplified by the AGC amplifier 204 into a digital signal.

  Here, an example of the type of video (stream) and the type of distortion correction selected by the distortion correction setting unit 108 will be described with reference to FIG. FIG. 3 is an example of types of output video (stream) according to the embodiment of the present invention. Note that the type of video and the type of distortion correction are examples, and the number of divisions, the shape of divided areas, and the like are not limited to the following.

  (A) is called fisheye. The entire area of the omnidirectional image is the effective area, and the captured video is distributed as it is. The distortion correction setting unit 108 is set not to perform distortion correction processing.

  (B) is called a double panorama. The omnidirectional image is divided into two and distributed as a panoramic image obtained by synthesizing the image subjected to distortion correction processing. The distortion correction setting unit 108 sets the type of distortion correction so that each of the two divided areas is rectangular.

  (C) is called single panorama. An omnidirectional image is distributed as one panoramic image. The distortion correction setting unit 108 sets the type of distortion correction processing so that the omnidirectional image becomes one rectangle.

  (D) is referred to as a 4-stroke stream. Four areas are cut out from the omnidirectional image, and each is distributed as one stream. The distortion correction setting unit 108 sets the type of distortion correction processing in which each of the four areas is rectangular. In the case of the example in this figure, since it is divided into four, it is distributed as four streams, but the number of divisions is not limited to this.

  (E) is referred to as 4-stroke composition. As in (D), four areas of the omnidirectional image are cut out and subjected to image correction. Finally, the four images are synthesized and distributed. The type of distortion correction processing selected by the distortion correction setting unit 108 is the same as (D). The number of divisions is not limited to this.

  In the example shown in FIG. 3, when the video streams (B), (D), and (E) are selected, the central portion of the entire image is not distributed as video.

  Here, an example of an image subjected to distortion correction processing by the distortion correction processing unit 107 will be described with reference to FIGS. FIG. 4 is an example of an image obtained by photographing the floor direction from the ceiling with the omnidirectional camera according to the embodiment of the present invention. An image 30 in FIG. 4 shows an entire image that has not been subjected to distortion correction when a direction perpendicular to the floor is photographed by a camera equipped with a fisheye lens installed on the ceiling. This is an image equivalent to the fisheye image of FIG.

  FIG. 5 is an example of a double panoramic image as an omnidirectional image according to the embodiment of the present invention. As shown in FIG. 3B, in this embodiment, the double panorama is an image form in which the entire omnidirectional image is divided into two parts, and distortion correction is performed on each of the two images. 4, by excluding a part of the region 300 delimited by the broken line in the image 30, the region 301 and the region 302 also similarly delimited by the broken line are cut out, and distortion correction processing is performed. The region 302 is turned upside down. In this case, an area 300 divided by a broken line in FIG. 4 is an invalid area, and an area 301 and an area 302 are valid areas.

  Further, as another example of the distortion correction process, FIG. 6 is an example of an image output after the distortion correction process according to the first embodiment. Regions 400 to 402 divided by solid lines in FIG. 4 are partially cut out, and the partial images cut out like regions 401 to 402 in FIG. 6 are connected to generate one image. In this case, the areas 400 to 402 divided by the solid line in FIG. 4 are valid areas, and the other areas are invalid areas. Although the cutout areas are combined as one image here, each may be distributed as a separate video stream.

(First embodiment)
Here, the first embodiment of the present invention will be described in detail with reference to FIGS. First, an example of setting an evaluation area used for photometry at the time of exposure control according to the set type of distortion correction processing will be described using the flowchart of FIG.

  FIG. 7 is a flowchart showing an evaluation area setting process of the imaging apparatus according to the first embodiment of the present invention. The flowchart in FIG. 7 illustrates a processing procedure executed by the control unit 104 controlling each processing block. This is realized by developing a program stored in a memory (ROM) of the control unit 104 in the memory (RAM) and executing it by the CPU. Here, the imaging unit 101, the image generation unit 102, the evaluation value calculation unit 103, the control unit 104, the evaluation area setting unit 105, the image processing unit 106, the distortion correction processing unit 107, the distortion correction setting unit 108, and the communication unit 109 are mainly used. The processing is realized by operating in the same manner.

  First, in step S101, it is determined whether a plurality of distortion correction processing types set by the distortion correction setting unit 108 are set. If a single type of distortion correction process is set in the distortion correction setting unit 108, the process proceeds to step S102, and if a plurality of types of distortion correction process is set, the process proceeds to step S103.

  When the process proceeds to step S102, since the set distortion correction process is of a single type, the evaluation area setting unit 105 evaluates according to the type of the current distortion correction process set by the distortion correction setting unit 108. Set the area. For example, when the distortion correction processing such as the double panorama example shown in FIGS. 3B and 5 is set in the distortion correction setting unit 108, the evaluation area setting unit 105 sets the effective area in the double panorama. Set as an evaluation area. Specifically, as shown in FIG. 8, the gray area 801 in the entire imaging range is set as an evaluation area used for photometry for exposure control. Here, the grid-like portion shown in FIG. 8 represents an evaluation area that can be set by the evaluation area setting unit 105, and it is possible to set whether or not to set an evaluation area for each area indicated by the grid. When the distortion correction processing as shown in FIG. 6 is set in the distortion correction setting unit 108, the evaluation area setting unit 105 uses the gray areas 901 to 903 for photometry for exposure control as shown in FIG. Set as the evaluation area to be used.

  On the other hand, when the process proceeds to step S103, since a plurality of types of distortion correction processing are set in the distortion correction setting unit 108, a combination of the set types of distortion correction processing is acquired. Here, FIG. 11 shows a table of examples of distortion correction types of the corresponding distortion correction setting unit 108 when a plurality of videos 1 to 5 are selected as output videos. For example, the distortion correction process 1 is a distortion correction process similar to the double panorama of FIG. 5, and the distortion correction process 2 is a distortion correction process similar to the case of the area cutout of FIG. 6. For example, the following description will be made assuming that the acquired combination of distortion correction processing is a combination excluding the image 4 (fisheye) in FIG.

  Proceeding to step S104, the evaluation area setting unit 105 sets an evaluation area in consideration of a combination of types of distortion correction processing. When the acquired combination of distortion correction processing is a combination excluding the image 4 (fisheye) in FIG. 11, distortion correction processing 1 (distortion correction corresponding to double panorama) and distortion correction processing 2 (distortion correction corresponding to area clipping) ) Two types of distortion correction processing are set. In this case, the evaluation area setting unit 105 sets the gray area 1001 in FIG. 10 that is a combination of FIGS. 8 and 9 as an evaluation area used for photometry for exposure control.

  Through the above flow, the evaluation area setting unit 105 sets an evaluation area, and performs exposure control based on the evaluation value calculated by the evaluation value calculation unit 103 in the set evaluation area. The flow of exposure control has been described above, but it is also possible to perform focus control by calculating an edge component or contrast value as an evaluation value by the evaluation value calculation unit 103 from the set evaluation area. Alternatively, white balance control or color balance control may be performed by calculating a color component as an evaluation value. Further, the evaluation value calculation unit 103 may calculate a noise component as an evaluation value, and perform image processing such as noise reduction processing and various filter processing.

(Second Embodiment)
Next, an example of the second embodiment in the present embodiment will be described with reference to FIGS. In the second embodiment, separately from the distortion correction processing setting, for example, an evaluation area can be selected by a user instruction or the like. In this embodiment, the type of video delivery (stream) is selected by the distortion correction selection unit 112 of the client device 11, and the imaging device 10 performs distortion according to the type of video delivery received via the communication unit 109. The type of distortion correction processing is set in the correction setting unit 108. The user selects the type of video distribution (stream) using the distortion correction selection unit 112, and for example, as shown in FIG. 11, the type of distortion correction processing corresponding to a plurality of videos 1 to 5 (distortion correction processing 1, 2). ) Is set in the distortion correction setting unit 108.

  First, an example of control for setting an evaluation area used for photometry of exposure control when the user has selected an arbitrary evaluation area on the client device 11 will be described using the flowchart shown in FIG.

  FIG. 12 is a flowchart showing an evaluation area setting process of the imaging system according to the second embodiment of the present invention. The flowchart of FIG. 12 illustrates a processing procedure executed by the control unit 104 controlling each processing block. This is realized by developing a program stored in a memory (ROM) of the control unit 104 in the memory (RAM) and executing it by the CPU. Since steps S101 to S104 in FIG. 12 are the same as steps S101 to S104 in FIG. 7 in the first embodiment, description thereof will be omitted.

  In step S205, the evaluation area selection unit 111 determines whether an arbitrary evaluation area is selected. If an arbitrary evaluation area selected by the evaluation area selection unit 111 has not been received, the process ends, and the evaluation area setting unit 105 performs a final evaluation on the evaluation area set in the process up to step S104 described above. Set as area.

  When the information of the arbitrary evaluation area selected by the evaluation area selection unit 111 is received, the process proceeds to step S206. Here, the evaluation area selection unit 111 displays the entire image on the display unit 113 of the client apparatus 11 as in the example of the UI illustrated in FIG. 13, and the user sets an area such as a gray area 1401 on the image. By doing so, an arbitrary evaluation area is selected. The image to be displayed for selecting the evaluation area may be the entire omnidirectional image actually taken or may be designated on the image recorded in advance. Moreover, it is good also as a structure which displays a panoramic image. The evaluation area setting method can be specified by a known technique such as surrounding an area or selecting each evaluation area one by one. Here, it is assumed that the gray area 1401 in FIG. 13 is selected by the evaluation area selection unit 111. Information on the selected arbitrary evaluation area is sent to the imaging apparatus via the communication unit.

  In step S206, it is determined whether the arbitrary evaluation area selected by the evaluation area selection unit 111 includes an invalid area based on the type of distortion correction processing set by the distortion correction setting unit 108. For example, when FIG. 5 (double panorama) is set, as shown in FIG. 8, a part of the white area near the center is an invalid area and is included in the gray area 1401 of FIG. 13 which is an arbitrary evaluation area. ing. If an invalid area based on the distortion correction process set in the distortion correction setting unit 108 is included in any evaluation area selected by the evaluation area selection unit 111, the process proceeds to step S207. If not included, the process proceeds to step S208.

  In step S207, the invalid area based on the distortion correction process set in the distortion correction setting unit 108 is excluded from the evaluation area selected by the evaluation area selection unit 111. For example, when FIG. 5 (double panorama) is set, the gray area 1501 excluding the invalid area (the central part of the image) based on the distortion correction processing from the arbitrary evaluation area selected as shown in FIG. Is set as the evaluation area. Thereafter, the process proceeds to step S208.

  In step S208, an arbitrary evaluation area (area excluding the invalid area) selected by the evaluation area selection unit 111 and a distortion correction selection unit 112 are selected (set in the distortion correction setting unit 108). A final evaluation area is set based on the effective area of the distortion correction process. For example, a portion where an arbitrary evaluation area and an effective area of distortion correction processing overlap is set as a final evaluation area. Alternatively, for example, the arbitrary evaluation area and all the effective areas are set as final evaluation areas, and the evaluation value calculated by the evaluation value calculation unit 103 of the area of the arbitrary evaluation area selected by the evaluation area selection unit 111 is weighted. You may comprise so that it may raise.

  Also in steps S206 to S208, when a plurality of videos are selected by the distortion correction selection unit 112 of the plurality of client devices, an effective area and an invalid area are calculated based on a combination of distortion correction processing types. Set the evaluation area. Furthermore, in the case of the example in FIG. 11, since the number of videos to which distortion correction processing 1 is most applied is large, the evaluation value calculated by the evaluation value calculation unit 103 of the evaluation area for the effective area of distortion correction processing 1 Control may be performed to increase the weighting.

  As described above, according to the present embodiment, when an arbitrary evaluation area is set, an evaluation area including both an evaluation area based on the distortion correction process and an arbitrary evaluation area selected separately is selected. Can be set.

  Although the present invention has been described by taking as an example a configuration in which the imaging apparatus 10 includes the distortion correction processing unit 107, the entire captured image is distributed from the imaging apparatus 10, and distortion correction processing is performed on the external server or client apparatus side. It may be configured to execute.

  As mentioned above, although this invention was demonstrated with various embodiment, this invention is not limited only to these embodiment, A change etc. are possible within the scope of the present invention. For example, in the above-described embodiment, the camera described as the imaging device can be applied to a digital still camera or a digital video camera.

  In the present invention, the imaging unit 101, the image generation unit 102, the evaluation value calculation unit 103, the control unit 104, the evaluation area setting unit 105, the image processing unit 106, the distortion correction processing unit 107, the distortion correction setting unit 108, and the communication unit 109. The operation may be realized by the CPU executing a program.

  The above is a description of a preferred embodiment of the present invention. However, the present invention is not limited to the above-described embodiment within the scope of the technical idea of the present invention, and is adapted as appropriate according to the target circuit form. What to do. For example, the camera described as the imaging device in the above-described embodiment can be applied to a digital still camera or a digital video camera.

  Further, the present invention can be embodied as a system, apparatus, method, computer program, or recording medium, for example. Specifically, the present invention can be applied to a system composed of a plurality of apparatuses even if it is realized by one apparatus. May be. Each means of the imaging apparatus according to the present embodiment and each step of the imaging apparatus control method can also be realized by operating a program stored in a memory of a computer or the like. The computer program and a computer-readable recording medium on which the program is recorded are included in the present invention.

  The present invention supplies a program that realizes one or more functions of the above-described embodiments to a system or apparatus via a network or a storage medium, and one or more processors in a computer of the system or apparatus read and execute the program This process can be realized. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

DESCRIPTION OF SYMBOLS 101 Image pick-up part 102 Image signal generation means 103 Evaluation value calculation part 104 Evaluation area setting part 105 Control part 106 Image processing part 107 Distortion correction processing part 108 Distortion correction selection part 109 Communication part

Claims (16)

Imaging means for imaging a subject and generating an image signal;
Evaluation value calculating means for calculating an evaluation value from the image signal;
Evaluation area setting means for setting an area to be evaluated by the evaluation value calculating means;
Control means for controlling the imaging means according to the result of the evaluation value calculating means;
Distortion correction means for performing one or more distortion correction processing on the image signal,
The image pickup apparatus, wherein the evaluation area setting means changes the evaluation area according to the type of the one or more distortion correction processes.   The imaging apparatus according to claim 1, wherein the one or more distortion correction processes include a distortion correction process that performs a distortion correction process by excluding a partial region of the image signal.   The one or more distortion correction processes include a distortion correction process in which one or more of a partial region of the image signal is cut out and distortion correction processing is performed on each of the cut out images. The imaging apparatus according to 1 or 2.   4. The evaluation value calculating unit according to claim 1, wherein the evaluation value calculating unit calculates at least one of a luminance component, a color component, a contrast value, an edge component, and a noise component as an evaluation value. Imaging device.   The control means performs at least one of exposure control, focus control, white balance control, and image processing of the imaging means based on the evaluation value calculated by the evaluation value calculation means. Item 5. The imaging device according to any one of Items 1 to 4. A communication unit that receives information about an arbitrary selected evaluation area or a type of distortion correction processing executed by the distortion correction unit;
The imaging apparatus according to claim 1, further comprising: When the arbitrary evaluation area is selected and the distortion correction processing is executed by excluding a part of the image signal in the distortion correction processing means,
The imaging system according to claim 6, wherein the evaluation area setting unit excludes a partial area of the image signal to be excluded from the distortion correction processing from an evaluation area to be set. When the arbitrary evaluation area is selected and the entire area or a part of the arbitrary evaluation area is included in the effective area where the distortion correction processing is executed by the distortion correction unit,
The imaging apparatus according to claim 6, wherein the evaluation area setting unit changes weighting of the evaluation value calculated by the evaluation value calculation unit in a region where the effective region and the arbitrary evaluation area overlap. .   The evaluation area setting means changes the weight of the evaluation value calculated by the evaluation value calculation means according to the number of externally requested video streams corresponding to each of the one or more distortion correction processes. The imaging system according to any one of claims 6 to 8, wherein: Imaging means for imaging a subject and generating an image signal;
Evaluation value calculating means for calculating an evaluation value from the image signal;
Evaluation area setting means for setting an area to be evaluated by the evaluation value calculating means;
Control means for controlling the imaging means according to the result of the evaluation value calculating means;
Selecting means for selecting one or more types of video distribution;
The said evaluation area setting means changes the said evaluation area according to the said one or more types of video delivery, The imaging system characterized by the above-mentioned. Imaging a subject to generate an image signal;
Calculating an evaluation value from the image signal;
Setting an area to be evaluated by the evaluation value calculating means;
Controlling the imaging means according to the result of the evaluation value calculating means;
Performing one or more distortion correction processes on the image signal;
Changing the evaluation area according to the type of the one or more distortion correction processes;
A method for controlling an imaging apparatus, comprising:   A computer program for causing a computer to execute each step according to claim 11.   A computer-readable recording medium on which the program according to claim 12 is described. Imaging a subject to generate an image signal;
Calculating an evaluation value from the image signal;
Setting an area to be evaluated by the evaluation value calculating means;
Controlling the imaging means according to the result of the evaluation value calculating means;
Selecting one or more video delivery types;
Changing the evaluation area according to the one or more types of video distribution;
A control method for an imaging system, comprising:   A computer program for causing a computer to execute each step according to claim 14.   The computer-readable recording medium which described the program of Claim 15.

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