Control apparatus, wearable camera, image capturing system, control method, and storage medium

Abstract

To provide a control device capable of changing parameters relating to composition, image quality and a subject in accordance with the preference of a selector.SOLUTION: The control device is a control device of a wearable camera that performs automatic imaging in a state of being worn by a user, and includes an acquisition unit that acquires information on a selected image selected via a client terminal among images acquired by the wearable camera and presented via a server, and a control unit that causes the wearable camera to perform automatic imaging based on the information on the selected image.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a control device for a wearable camera. [Background technology]

[0002] In recent years, a system has been proposed in which images taken at events such as weddings and parties are captured using a wearable camera that automatically captures images while worn by the wearer, and the captured images can then be purchased online. However, when a wearable camera is used to capture images over a long period of time, the number of images becomes enormous, and many of the images do not match the preferences of the purchaser (selector), making image selection burdensome and cumbersome for the purchaser. Patent Document 1 discloses a configuration that can determine the preferences of the photographer based on captured images and change the shooting parameters of the imaging device. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-110619 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the configuration of Patent Document 1 only allows changing shooting parameters related to image quality, and the photographer must search for the subject and adjust the composition and focus themselves, which increases the possibility of shooting mistakes and prevents the photographer from viewing many images with their own eyes.

[0005] An object of the present invention is to provide a control device that can change photographing parameters related to composition, image quality, and subject to suit the preferences of the user. [Means for solving the problem]

[0006] One aspect of the present invention is a control device for a wearable camera that automatically takes photographs while worn by a user, and is characterized by having an acquisition unit that acquires information regarding a selected image selected via a client terminal from images acquired by the wearable camera and presented via a server, and a control unit that causes the wearable camera to automatically take photographs based on the information regarding the selected image. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide a control device that can change photographing parameters relating to composition, image quality, and subject to suit the preferences of the user. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a configuration diagram of a wearable automatic photography system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a schematic diagram of an imaging device. [Figure 3] FIG. 1 is a block diagram of an imaging device. [Figure 4] FIG. 10 is a diagram showing a processing flow of the wearable automatic photography system. [Figure 5] 5 is a flowchart showing control of automatic photography by the imaging device of the first embodiment. [Figure 6] 10 is a flowchart showing control of automatic photography by the imaging device of the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, the same reference numerals are used to designate the same components, and redundant explanations will be omitted. <System configuration> 1 is a diagram showing the configuration of a wearable automatic photography system according to an embodiment of the present invention. The wearable automatic photography system includes an imaging device 102, a communication terminal 103, a client terminal 104, a video providing server 105, a data collection server 106, and a learning server 107.

[0010] The client terminal 104 , the video providing server 105 , the data collection server 106 , and the learning server 107 are connected to the Internet 100 .

[0011] A local network 101 is a network configured by cables or wireless connections, and is connected to the Internet 100. An imaging device 102 and a communication terminal 103 are connected to the local network 101, and can exchange information with each other via the local network 101.

[0012] The imaging device 102 is a wearable camera worn by a wearer (user) and is configured to be able to autonomously capture images (automatic capture) without user operation. The imaging device 102 can change camera control (capture parameters) using learning information (information about a selected image) (described later) acquired from a learning server 107 via a local network 101 to create still images and videos. Still images and videos captured by the imaging device 102 are stored in the data collection server 106 from the communication terminal 103 via the local network 101, or directly in the data collection server 106 via the local network 101. Note that although FIG. 1 shows one imaging device 102 and one client terminal 104, multiple imaging devices and multiple client terminals may be used.

[0013] The communication terminal 103 has a communication function and is connected to the imaging device 102 as described above. The communication function of the communication terminal 103 is realized by a wireless LAN communication module or a wired communication module. The communication terminal 103 has an operation mechanism that accepts user operations and is capable of transmitting instructions based on information input to the operation mechanism to the imaging device 102 via the wireless LAN communication module or the wired communication module. The communication terminal 103 is also capable of obtaining information from the learning server 107 via the Internet 100 and transmitting it to the imaging device 102. Furthermore, the communication terminal 103 obtains still images and videos captured by the imaging device 102 and transmits them to the data collection server 106 via the Internet 100.

[0014] The client terminal 104 is a computer that allows a user (purchaser, selector) to use a web browser to select from still images and videos captured by the imaging device 102 and presented via the video providing server 105, and select the images to purchase.

[0015] The video providing server 105 provides still images and videos stored in the data collection server 106, which include the user or the user's family or acquaintances, to the client terminal 104 in a viewable and selectable format via the Internet 100. The operator of the video providing server 105 provides a service of providing and selling still images and videos taken by the imaging device 102 to users. The video providing server 105 also transmits the user's purchase information (selection information) to the learning server 107. Note that the subjects of the still images and videos purchased by the user from the operator are not necessarily the user or the user's family or acquaintances, but for the sake of convenience in the following explanation, it is assumed that the still images and videos made available to users for sale by the operator are the user or the user's family or acquaintances.

[0016] The data collection server 106 is a computer that collects still images and videos captured by the imaging device 102 and transmits still images or videos requested by the video providing server 105 to the video providing server 105 .

[0017] The learning server 107 is a computer that generates learning information (learning model) for each user, learned using the user's purchase information transmitted from the video providing server 105. The learning server 107 transmits the learning information to the imaging device 102 via the Internet 100. <Configuration of imaging device> FIG. 2 is a configuration diagram of the imaging device 102. In this embodiment, the imaging device 102 is worn around the wearer's neck using a strap 201. The imaging device 102 is provided with various operation members such as a power button. The operation members include a touch panel capable of detecting touch operations on the display screen. The housing 202 includes a group of photographing lenses and an image sensor and is attached to the front of the imaging device 102. The direction detection unit 203 captures an image of the wearer's chin using infrared light and determines the direction of the wearer's face from the image. The housing 202 has a fisheye lens and cuts out an area (photographing range, cropping range) located in the direction of the wearer's face (the direction the wearer's face is facing) from an image with a wide angle of view (captured image) and records it as an actual still image or video. Furthermore, when the imaging device 102 is powered on, it has the function of automatically capturing and recording still images and videos without any operation by the wearer.

[0018] 3 is a block diagram of the imaging device 102. The first control unit 323 is made up of a processor such as a CPU, GPU, microprocessor, or MPU. The memory 315 is made up of a volatile memory such as a DRAM or SRAM. The first control unit 323 and the memory 315 execute various processes to control each block of the imaging device 102 and control data transfer between each block. The non-volatile memory 316 is an electrically erasable and recordable memory that stores constants, programs, etc. for the operation of the first control unit 323.

[0019] The first control unit 323 functions as an acquisition unit that acquires learning information, and also functions as a control unit that causes the imaging device 102 to perform automatic imaging based on the learning information. When the first control unit 323 functions as a control unit, specifically, first, it sets imaging parameters based on the learning information. Next, it causes the imaging device 102 to perform automatic imaging based on the imaging parameters.

[0020] The zoom unit 301 includes a zoom lens that changes magnification. The zoom drive control unit 302 controls the drive of the zoom unit 301. The focus unit 303 includes a lens that adjusts focus. The focus drive control unit 304 controls the drive of the focus unit 303.

[0021] In the imaging unit 306, the imaging element receives light incident through each lens group, and outputs charge information corresponding to the amount of light as analog image data to the image processing unit 307. The image processing unit 307 applies image processing such as distortion correction, white balance adjustment, and color interpolation processing to the digital image data output by A / D conversion within the shooting range determined by the image cropping determination unit 305, and outputs the digital image data after the processing. The digital image data output from the image processing unit 307 is converted into a recording format such as JPEG format by the image encoding unit 308, and transmitted to the memory 315 or the recording medium 321.

[0022] The device vibration detection unit 309 includes an angular velocity meter 206 that detects the angular velocity of the image capture device 102 in three axial directions, and an accelerometer 207 that detects the acceleration of the image capture device 102 in three axial directions. The device vibration detection unit 309 acquires the rotation angle, shift amount, etc. of the image capture device 102 based on the detected signals.

[0023] The audio input unit 313 acquires audio signals from the surroundings of the imaging device 102 from a microphone provided in the imaging device 102, performs analog-to-digital conversion, and transmits the signals to the audio processing unit 314. The audio processing unit 314 performs audio-related processing such as optimization of the input digital audio signals. The audio signals processed by the audio processing unit 314 are transmitted to the memory 315 by the first control unit 323.

[0024] The memory 315 temporarily stores the image signals and audio signals obtained from the image processing unit 307 and the audio processing unit 314. The image processing unit 307 and the audio processing unit 314 read out the image signals and audio signals temporarily stored in the memory 315 and perform encoding of the image signals and audio signals, thereby generating compressed image signals and compressed audio signals. The first control unit 323 transmits the compressed image signals and compressed audio signals to the recording and playback unit 320.

[0025] The recording and reproducing unit 320 records the compressed image signal and compressed audio signal generated by the image processing unit 307 and audio processing unit 314, as well as other control data related to shooting, on the recording medium 321. When the audio signal is not compression-encoded, the first control unit 323 transmits the audio signal generated by the audio processing unit 314 and the compressed image signal generated by the image processing unit 307 to the recording and reproducing unit 320, and causes them to be recorded on the recording medium 321.

[0026] The recording medium 321 may be a recording medium built into the imaging device 102 or a removable recording medium. The recording medium 321 can record various types of data such as compressed image signals, compressed audio signals, and audio signals, and generally has a larger capacity than the nonvolatile memory 316. For example, the recording medium 321 includes any type of recording medium such as a hard disk, optical disk, magneto-optical disk, CD-R, DVD-R, magnetic tape, nonvolatile semiconductor memory, and flash memory.

[0027] The recording / playback unit 320 reads (plays back) compressed image signals, compressed audio signals, audio signals, various data, and programs recorded on the recording medium 321. The read compressed image signals and compressed audio signals are transmitted to the image processing unit 307 and audio processing unit 314 by the first control unit 323. The image processing unit 307 and audio processing unit 314 temporarily store the compressed image signals and compressed audio signals in the memory 315, decode them in a predetermined procedure, and transmit the decoded signals to the video output unit 317 and audio output unit 318.

[0028] The imaging device 102 is equipped with multiple microphones. The audio processing unit 314 can detect the direction of sound on a plane on which the multiple microphones are installed. Information detected by the audio processing unit 314 is used for searching and automatic shooting. The audio processing unit 314 also detects specific voice commands. The specific voice commands may include pre-registered commands as well as specific voices registered in the imaging device 102 by the user. The audio processing unit 314 also performs sound scene recognition. In sound scene recognition, sound scenes are determined using a network that has been trained by machine learning based on a large amount of audio data in advance. For example, a network for detecting specific scenes such as "cheers," "clapping," and "uttering a voice" is configured in the audio processing unit 314. When the audio processing unit 314 detects a specific sound scene or a specific voice command, it outputs a detection trigger signal to the first control unit 323 or the second control unit 311.

[0029] The second control unit 311 is provided separately from the first control unit 323 that controls the entire main system of the imaging device 102 , and controls the power supply to the first control unit 323 .

[0030] The first power supply unit 310 and the second power supply unit 312 supply power to operate the first control unit 323 and the second control unit 311, respectively. When the power button provided on the imaging device 102 is pressed, power is first supplied to both the first control unit 323 and the second control unit 311, but the first control unit 323 controls to turn off its own power supply to the first power supply unit 310. Even while the first control unit 323 is not operating, the second control unit 311 continues to operate, and information is input from the device vibration detection unit 309 and the audio processing unit 314. The second control unit 311 performs a determination process based on various input information as to whether or not to start the first control unit 323, and if it determines to start the first control unit 323, it instructs the first power supply unit 310 to supply power.

[0031] The audio output unit 318 outputs a preset audio pattern from a speaker built into the image capture device 102, for example, during shooting.

[0032] The LED control unit 324 controls the LEDs provided in the image capturing device 102 to light and blink in a preset pattern, for example, during shooting.

[0033] The video output unit 317 is, for example, a video output terminal, and transmits an image signal to display a video on a connected external display, etc. The audio output unit 318 and the video output unit 317 may be combined into one terminal, for example, an HDMI (registered trademark) (High-Definition Multimedia Interface) terminal.

[0034] The communication unit 322 communicates between the image capturing device 102 and an external device, or between the image capturing device 102 and another image capturing device, and transmits and receives data such as audio signals, image signals, compressed audio signals, and compressed image signals. The communication unit 322 also receives control signals related to image capturing, such as commands to start and stop image capturing, zoom drive, and image capture range adjustment by the image cropping determination unit 305. The image capturing device 102 is driven in accordance with the control signals related to image capturing received by the communication unit 322. The communication unit 322 also transmits and receives information such as various parameters related to learning processed by the learning processing unit 319 between the image capturing device 102 and an external device. The communication unit 322 is, for example, a wireless communication module such as an infrared communication module, a Bluetooth communication module, a wireless LAN communication module, or a Wireless USB.

[0035] When the face authentication unit 325 finds the face of a person in the vicinity while the imaging device 102 is running, it performs face authentication processing on the found face. Types of face authentication processing include, for example, a 2D authentication method that recognizes the positions of the eyes, nose, mouth, etc. of the face and compares them with a database for authentication, and a 3D authentication method that uses an infrared sensor in addition to the 2D method for authentication.

[0036] The face direction detection unit 327 determines the angle of the chin of the wearer wearing the imaging device 102 using an infrared LED or the like (not shown), and detects the face direction of the wearer (the direction in which the wearer's face is facing).

[0037] The image cutout determination unit 305 determines the shooting range based on information from the face direction detection unit 327 and the learning processing unit 319 .

[0038] The setting unit 326 sets the shooting release conditions according to the face information of the person authenticated by the face authentication unit 325 and the person determined by the learning processing unit 319. The shooting release conditions are determined based on an image evaluation value. The image evaluation value is a value that serves as an index of whether the scene captured by the imaging device 102 is suitable for photography, and is determined based on face detection information, face authentication information, blink rate, facial expression of the subject, facial direction, size of the subject, etc. <Overall system processing flow> FIG. 4 is a diagram showing the processing flow of the wearable automatic photography system. The imaging device 102 automatically captures images at an event, such as a party, acquires multiple images, and uploads them (401) to the data collection server 106 directly or via the communication terminal 103. Once the images have been uploaded, the user can access the video providing server 105 using the client terminal 104 by entering a user ID, password, etc., and purchase the desired image. Once an image has been purchased, the video providing server 105 issues a request to the data collection server 106 to acquire the image (402), allowing the user to download the purchased image (403). When the user purchases an image, the video providing server 105 transmits purchase information (404) to the learning server 107. Upon receiving the purchase information, the learning server 107 analyzes and learns the subject size, number of subjects, photography parameters, etc. of the purchased image, and stores the learned information. Then, before the next event, the learning information is downloaded (405) from the learning server 107 to the image capture device 102 or the communication terminal 103, and applied to the image capture device 102, thereby changing the control of automatic photography.

[0039] For images taken at the next event, the user accesses the video providing server 105 using the client terminal 104 and purchases their favorite images, which updates the learning information along with the previous learning information. By controlling in this way, the latest user preferences can be reflected in the control of automatic shooting. However, if there is only a small amount of information used for analysis, the learning information may become biased and may not be able to properly reflect the user's preferences. Therefore, if the user does not purchase more than a certain number of images, analysis and learning may not be performed. [First embodiment] In this embodiment, a zoom parameter for adjusting the size of a subject within the angle of view is updated using learning information, and automatic shooting control is performed. FIG. 5 is a flowchart showing the control of automatic shooting performed by the image capture device 102.

[0040] In step S501, the first control unit 323 acquires the face direction of the wearer detected by the face direction detection unit 327.

[0041] In step S502, the first control unit 323 acquires the shooting range determined by the image cutout determination unit 305.

[0042] In step S503, the image processing unit 307 performs image processing on the signal captured by the imaging unit 306 to generate an image for subject detection. The first control unit 323 performs subject detection processing (image recognition processing) to detect people, objects, etc. using the generated image. When detecting a person, the face or human body of the subject is detected. In face detection processing, a pattern for determining a person's face is determined in advance, and a portion in the captured image that matches the pattern can be detected as the person's face area. At the same time, a reliability indicating the likelihood that the face is the subject's face is also calculated. The reliability is calculated, for example, from the size of the face area in the image, the degree of match with the face pattern, etc. Similarly, in object recognition, an object that matches a pre-registered pattern can be recognized.

[0043] There is also a method for extracting characteristic subjects using histograms of hue, saturation, etc. in a captured image. For an image of a subject captured within the field of view, a distribution derived from a histogram of the hue, saturation, etc. is divided into multiple sections, and the captured image is classified for each section. For example, histograms of multiple color components are created for the captured image, and the image is divided into sections based on their mountain-shaped distribution ranges. The captured image is classified into areas that belong to the same combination of sections, and the image area of ​​the subject is recognized. By calculating an evaluation value for each recognized image area of ​​the subject, the image area of ​​the subject with the highest evaluation value can be determined as the main subject area. Using the above methods, each piece of subject information can be obtained from the captured information.

[0044] In step S504, the first control unit 323 calculates the image shake correction amount using the absolute angle of the shake acquired based on the angular velocity and acceleration information detected by the device shake detection unit 309.

[0045] In step S505, the first control unit 323 determines the state of the imaging device 102. Specifically, the current vibration and movement state of the imaging device 102 is determined based on angular velocity information, acceleration information, and the camera angle and camera movement amount acquired from GPS position information, etc. For example, when the imaging device 102 is attached to a car and used to capture images, subject information such as the surrounding scenery changes significantly depending on the distance traveled. Therefore, the first control unit 323 determines whether the imaging device 102 is in a "vehicle moving state," in which the imaging device 102 is attached to a car or the like and moving at a speed faster than a predetermined speed, and uses this information for subject search. The first control unit 323 also determines whether the change in angle of the imaging device 102 is greater than a predetermined amount, and determines whether the imaging device 102 is in a "still photography state," in which there is little shaking of the imaging device 102. If the imaging device 102 is in a "still photography state," it can be assumed that there is no change in the position of the imaging device 102 itself, and subject search for still photography can be performed. If the imaging device 102 is not in a "still photography state," the first control unit 323 determines the imaging device 102 to be in a "handheld state," and subject search for handheld photography can be performed.

[0046] In step S506, when the first control unit 323 detects the subject's face, it updates the zoom parameters based on the learning information previously downloaded from the learning server 107. In this embodiment, the first control unit 323 sets the zoom parameters among the shooting parameters based on facial area information regarding the facial area of ​​the subject in the purchased image, which is included in the learning information. Then, the first control unit 323 controls the zoom unit 301 based on the set zoom parameters to perform zoom driving so that the size of the subject's face becomes a predetermined size. Note that, in this embodiment, the size of the subject is optically changed by driving the zoom unit 301, but the size of the subject to be photographed may also be changed by adjusting the shooting range using the image cropping determination unit 305.

[0047] In step S507, the first control unit 323 calculates an image evaluation value for determining whether to execute automatic photography. The image evaluation value is calculated from, for example, face detection information, personal authentication information, blink rate, facial expression, facial orientation, and subject size. Note that if the control result in step S507 matches the photography parameters that were previously downloaded and applied with learning information (405), a predetermined value may be added to the image evaluation value.

[0048] In step S508, the first control unit 323 determines whether the image evaluation value calculated in step S507 exceeds the shooting threshold. If the first control unit 323 determines that the image evaluation value exceeds the shooting threshold, it executes the process of step S509, and if it determines that the image evaluation value does not exceed the shooting threshold, it executes the process of step S501.

[0049] In step S509, the first control unit 323 causes the imaging device 102 to capture an image. The captured image data is recorded on the recording medium 321, but may also be recorded on the memory 315 or non-volatile memory 316. Alternatively, the image may be automatically transferred to the data collection server 106, and the image data may be recorded on the data collection server 106 side.

[0050] It is preferable to provide a predetermined tolerance for the shooting parameters so that they can accommodate moving subjects and zoom control errors.

[0051] In this embodiment, the zoom parameters are changed according to the facial area of ​​the subject in the image purchased by the user, but the present invention is not limited to this. Shooting parameters related to image quality, such as exposure, ISO sensitivity, white balance, and depth of field, may be changed or multiple parameters may be combined according to the analysis results of the subject and surrounding brightness and blur.

[0052] As described above, the configuration of this embodiment makes it possible to analyze images purchased by a user and change shooting parameters according to the determined user preferences. This increases the number of images that the user likes the next time they shoot, making it easier for the user to select images when viewing images on the video providing server 105, which can also lead to sales promotion. [Second embodiment] In this embodiment, the control of automatic shooting by updating composition parameters for adjusting the composition using learning information will be described. Fig. 6 is a flowchart showing the control of automatic shooting by the image capture device 102.

[0053] The processes from step S601 to step S605 are similar to the processes from step S501 to step S505 in FIG. 5, respectively, and therefore will not be described further.

[0054] In step S606, the first control unit 323 controls the zoom unit 301 to perform zoom driving. For example, if the target subject is a human face, if the face in the image is too small, it will fall below the minimum detectable size and may not be detected, resulting in the face being lost. In such a case, the camera controls the camera so that the size of the face in the image increases by zooming toward the telephoto side. On the other hand, if the face in the image is too large, the subject may easily move out of the angle of view due to movement of the subject or the imaging device 102 itself. In such a case, the camera controls the camera so that the size of the face in the image decreases by zooming toward the wide-angle side. By controlling the zoom in this way, it is possible to maintain a state suitable for tracking the subject. Here, the size of the subject is optically changed by driving the zoom unit 301, but the size of the subject captured may also be changed by adjusting the shooting range using the image crop determination unit 305.

[0055] In step S607, when the first control unit 323 detects the face of the subject, it updates the composition parameters based on the learning information previously downloaded from the learning server 107. In this embodiment, the first control unit 323 updates the composition parameters based on face position information regarding the face position of the subject in the purchased image, which is included in the learning information.

[0056] In step S608, the first control unit 323 causes the image cutout determination unit 305 to adjust the cutout position based on the updated composition parameters so that the face of the subject is positioned at a predetermined position.

[0057] The processes from step S609 to step S611 are similar to the processes from step S507 to step S509 in FIG. 5, respectively, and therefore will not be described further.

[0058] In this embodiment, the composition parameters are changed according to the position of the subject's face in the image purchased by the user, but the present invention is not limited to this. The composition parameters may be combined with the zoom parameters according to the subject's face area described in the first embodiment, or may be combined with shooting parameters related to image quality such as exposure, ISO sensitivity, white balance, and depth of field according to the analysis results of the brightness and blur of the subject and the surroundings.

[0059] As described above, the configuration of this embodiment makes it possible to analyze images purchased by a user and change shooting parameters according to the determined user preferences. This increases the number of images that the user likes the next time they shoot, making it easier for the user to select images when viewing images on the video providing server 105, which can also lead to sales promotion. [Other Examples] The present invention can also be realized by supplying a program that realizes one or more functions of the above-described embodiments to a system or device via a network or a storage medium, and having one or more processors in the computer of the system or device read and execute the program. It can also be realized by a circuit (e.g., ASIC) that realizes one or more functions.

[0060] The disclosure of this embodiment includes the following configurations and methods. (Configuration 1) A control device for a wearable camera that automatically takes pictures while worn by a user, an acquisition unit that acquires information about a selected image selected via a client terminal from among images acquired by the wearable camera and presented via a server; A control device comprising: a control unit that causes the wearable camera to automatically take a photograph based on information about the selected image. (Configuration 2) The control device according to configuration 1, wherein the control unit sets shooting parameters based on information about the selected image and causes the wearable camera to automatically take a photograph based on the shooting parameters. (Configuration 3) The control device according to configuration 1 or 2, characterized in that the control unit controls a zoom lens that performs magnification change based on facial area information regarding a facial area of ​​a subject in the selected image, among information regarding the selected image. (Configuration 4) The control device according to configuration 1 or 2, characterized in that the control unit sets an area to be cut out from a captured image having a wider angle of view than the selected image based on facial area information regarding the facial area of ​​the subject in the selected image, among information regarding the selected image. (Configuration 5) The photographing system according to any one of configurations 1 to 4, wherein the control unit sets an area to be cut out from an image having a wider angle of view than the selected image based on face position information regarding the face position of the subject in the selected image, among information regarding the selected image. (Configuration 6) 7. The control device according to any one of configurations 1 to 6, wherein the image is an area located in the direction of the user's face in a captured image with a wider angle of view than the image. (Configuration 7) 7. The control device according to configuration 6, wherein the captured image is an image captured using a fisheye lens. (Configuration 8) 8. The control device according to any one of configurations 1 to 7, wherein the information about the selected image includes information about image quality. (Configuration 9) 9. The control device according to any one of configurations 1 to 8, wherein the information about the selected image includes at least one of exposure, ISO sensitivity, white balance, and depth of field. (Configuration 10) A control device according to any one of configurations 1 to 9; A wearable camera comprising: an imaging element. (Configuration 11) The wearable camera according to configuration 10; a server that acquires the images from the wearable camera; a client terminal that is operated to select the selected image. (Method 1) A control method for a wearable camera that automatically takes pictures while worn by a user, comprising: acquiring information about a selected image selected via a client terminal from among images captured by the wearable camera and presented via a server; and causing the wearable camera to automatically take a photograph based on information about the selected image. (Configuration 12) A program that causes a computer to execute the control method described in Method 1.

[0061] Although the preferred embodiments of the present invention have been described above, the present invention is not limited to these embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. [Explanation of symbols]

[0062] 102 Imaging device (wearable camera) 104 client terminals 105 Video Server (Server) 106 Data Collection Server (Server) 107 Learning Server (Server) 323 First control unit (control device, acquisition unit, control unit)

Claims

1. A control device for a wearable camera that automatically takes pictures while worn by a user, an acquisition unit that acquires information about a selected image selected via a client terminal from among images acquired by the wearable camera and presented via a server; A control device comprising: a control unit that causes the wearable camera to automatically take a photograph based on information about the selected image.

2. The control device according to claim 1 , wherein the control unit sets shooting parameters based on information about the selected image and causes the wearable camera to automatically take a photograph based on the shooting parameters.

3. 3. The control device according to claim 2, wherein the control unit controls a zoom lens that performs zooming based on facial area information relating to a facial area of ​​a subject in the selected image, among the information relating to the selected image.

4. The control device according to claim 2, characterized in that the control unit sets an area to be cut out from a captured image with a wider angle of view than the selected image based on facial area information regarding the facial area of ​​the subject in the selected image, among the information regarding the selected image.

5. The photographing system described in any one of claims 2 to 4, characterized in that the control unit sets an area to be cut out from an image having a wider angle of view than the selected image based on face position information regarding the face position of the subject in the selected image, among information regarding the selected image.

6. 5. The control device according to claim 1, wherein the image is a region located in a direction of the face of the user in a captured image having a wider angle of view than the image.

7. 7. The control device according to claim 6, wherein the captured image is an image captured using a fisheye lens.

8. 5. The control device according to claim 1, wherein the information about the selected image includes information about image quality.

9. 5. The control device according to claim 1, wherein the information about the selected image includes at least one of exposure, ISO sensitivity, white balance, and depth of field.

10. A control device according to any one of claims 1 to 4; A wearable camera comprising: an imaging element.

11. The wearable camera according to claim 10; a server that acquires the images from the wearable camera; a client terminal that is operated to select the selected image.

12. A control method for a wearable camera that automatically takes pictures while worn by a user, comprising: acquiring information about a selected image selected via a client terminal from among images captured by the wearable camera and presented via a server; and causing the wearable camera to automatically take a photograph based on information about the selected image.

13. A program causing a computer to execute the control method according to claim 12.

Images