An image capture method, device, and electronic device in a specific scenario

Abstract

The present application provides an image capture method, apparatus and electronic device in a specific scenario. The image capture method in the specific scenario includes: receiving a request for obtaining a target video image of a target area in a to-be-detected video image; the acquisition request includes the appearance features of a preset user and the morphological features of a preset item in a specific scenario; based on the appearance features of the preset user and the morphological features of the preset item, determining whether there is an action interaction between the preset user and the preset item in the target area; if so, capturing the target area. The present application can automatically capture images when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and in particular, to an image capture method, apparatus, and electronic device in a specific scenario. Background Art

[0002] With the development and progress of society, more and more people choose to drive their own cars for tourism, and more and more people start to choose camping as a new mode of tourism. Driving to the suburbs for camping has gradually become a choice for people's weekend leisure. In order to help users retain the beautiful moments during camping.

[0003] However, in the prior art, people cannot capture some images with specific special meanings in special scenarios such as camping. If captured manually in real time, it is not very realistic, not natural enough, and the quality and effectiveness of the captured images cannot be guaranteed. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide an image capture method, apparatus, and electronic device in a specific scenario, which can automatically capture images when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

[0005] The embodiment of this application provides an image capture method in a specific scenario. The image capture method in the specific scenario includes:

[0006] Receiving a request for obtaining a target video image of a target area in a video image to be detected; the obtaining request includes the appearance features of a preset user and the morphological features of a preset item in a specific scenario;

[0007] Based on the appearance features of the preset user and the morphological features of the preset item, determining whether there is an action interaction between the preset user and the preset item in the target area;

[0008] If there is, capturing the target area.

[0009] Further, the target area is captured according to the following steps:

[0010] Determining whether to perform historical capture on the action interaction between the preset user and the preset item in the target area;

[0011] If not, capturing the target area.

[0012] Further, the image capture method in the specific scenario further includes:

[0013] Based on the appearance features of the preset user, determining whether there is a posture change of the preset user in the target area;

[0014] If it exists, determine whether the posture change satisfies a preset posture change rule;

[0015] If it is satisfied, capture the target area.

[0016] Furthermore, the appearance features include the user's height feature, the user's weight feature, and the user's facial feature, and the posture change includes a gesture change and an action change. Determining whether there is a posture change of a preset user in the target area based on the appearance features of the preset user includes:

[0017] Based on the user's height feature, the user's weight feature, and the user's facial feature of the preset user, determine the type of the preset user in the target area;

[0018] If the type of the preset user is an adult, determine whether there is a gesture change of the adult in the target area;

[0019] If the type of the preset user is a child, determine whether there is a gesture change, and / or an action change of the child in the target area.

[0020] Furthermore, the preset posture change rule includes a preset gesture change rule and a preset action change rule. Determine whether the posture change satisfies the preset posture change rule by the following method:

[0021] Determine whether the gesture change of the adult satisfies the preset gesture change rule, and determine whether the gesture change of the child satisfies the preset gesture change rule, and / or whether the action change of the child satisfies the preset action change rule.

[0022] Furthermore, the image capture method in a specific scenario further includes:

[0023] Determine whether there are other users other than the preset user in the target area;

[0024] If there are, obtain the distance between the other user and the preset user, and the staying time of the other user in the target area;

[0025] Based on the distance and the staying time, determine whether to determine the other user as a new preset user.

[0026] An embodiment of the present application further provides an image capture device in a specific scenario. The image capture device in the specific scenario includes:

[0027] Furthermore, a second judgment module, configured to determine whether there is a posture change of a preset user in the target area based on the appearance features of the preset user;

[0028] A third judgment module, configured to judge whether the posture change satisfies a preset posture change rule if it exists;

[0029] A second capture module, configured to capture the target area if the condition is satisfied.

[0030] An embodiment of the present application further provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device runs, the processor communicates with the memory through the bus. When the machine-readable instructions are executed by the processor, the steps of the image capture method in the above-mentioned specific scenario are executed.

[0031] An embodiment of the present application further provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run by a processor, the steps of the image capture method in the above-mentioned specific scenario are executed.

[0032] The image capture method and device in a specific scenario provided by the embodiments of the present application, compared with the image capture methods in the prior art, the embodiments provided by the present application judge whether there is an action interaction between a preset user and a preset item in the target area by presetting the appearance characteristics of the user and the morphological characteristics of the preset item, and capture the target area when there is an action interaction, realizing the ability to obtain the captured images of all users in special scenarios, and without the need for real-time manual operation by people, improving the quality and comprehensiveness of the captured images.

[0033] To make the above objects, features, and advantages of the present application more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, is described in detail as follows. Description of the Drawings

[0034] To more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0035] Figure 1 Shows one of the flowcharts of an image capture method in a specific scenario provided by an embodiment of the present application;

[0036] Figure 2 Shows another flowchart of an image capture method in a specific scenario provided by an embodiment of the present application;

[0037] Figure 3 Shows one of the structural diagrams of an image capture device in a specific scenario provided by an embodiment of the present application;

[0038] Figure 4 Shows the second structural diagram of an image capture device in a specific scenario provided by an embodiment of the present application;

[0039] Figure 5 Shows the third structural diagram of an image capture device in a specific scenario provided by an embodiment of the present application;

[0040] Figure 6 Shows the structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0041] In the figure:

[0042] 400 - Image capture device in a specific scenario; 410 - Receiving module; 420 - First judgment module; 430 - First capture module; 440 - Second judgment module; 450 - Third judgment module; 460 - Second capture module; 470 - Fourth judgment module; 480 - Acquisition module; 490 - Determination module; 600 - Electronic device; 610 - Processor; 620 - Memory; 630 - Bus. Detailed implementation manners

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Usually, the components of the embodiments of the present application described and illustrated herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, every other embodiment obtained by those skilled in the art without creative efforts belongs to the scope of protection of the present application.

[0044] First, the applicable application scenarios of the present application are introduced. The present application can be applied to the field of data processing technology.

[0045] Through research, it is found that in the prior art, people cannot capture some images with specific special meanings in special scenarios such as camping. If it is captured manually in real time, it is not very realistic, not natural enough, and the quality and effectiveness of the captured images cannot be guaranteed.

[0046] Based on this, the embodiments of the present application provide an image capture method, device, and electronic device in a specific scenario, which can automatically capture images when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

[0047] Please refer to Figure 1 , Figure 1 which is a flowchart of an image capture method in a specific scenario provided by an embodiment of the present application. As Figure 1 shown in

[0048] S101. Receive a request for obtaining a target video image of a target area in the video image to be detected; the obtaining request includes the appearance characteristics of a preset user and the morphological characteristics of a preset item in a specific scenario.

[0049] In this step, the specific scenario in the embodiment provided by the present application can be customarily selected according to different application scenarios. Here, the embodiment provided by the present application selects the scenario of the camping mode of a vehicle during tourism. When the vehicle travels to a suitable position and the camping mode of the vehicle is turned on, at this time, an input camping mode switching instruction is used to switch the vehicle from the normal mode to the camping mode. Then, the capture function of the vehicle is turned on, the preset capture range and the capture angle of the on-vehicle camera are set. Then, when getting out of the vehicle, the appearance characteristics of the preset user and the morphological characteristics of the preset item in the specific scenario are determined through the on-vehicle camera. After all the above preparations are completed, the on-vehicle camera starts to collect the video image to be detected within the preset capture range. Then, after the collection is completed, when a user wants to collect the vivid images around the preset item in the special scenario in the video, the collected video image to be detected within the preset capture range will be sent to the processor inside the vehicle, and then the processor performs image processing and analysis on the video image to be detected, identifies the appearance characteristics of all users in the video and the morphological characteristics of the preset item in the specific scenario, and then identifies the changes in the appearance characteristics of all users in the video and the changes in the morphological characteristics of the preset item in the specific scenario. When the processor receives a request for obtaining a target video image of a target area in the video image to be detected, it compares the appearance characteristics of all users in the video image to be detected and the morphological characteristics of the preset item in the specific scenario with the appearance characteristics of the preset user and the morphological characteristics of the preset item in the specific scenario. And when the appearance characteristics of the above users and the morphological characteristics of the preset item in the specific scenario change, it controls the on-vehicle camera to capture, and some vivid target video images can be captured. And when some preset users leave the target area to make other preparations, they can be captured when the preset user is detected and when they come back, ensuring that everyone has a photo.

[0050] Here, the preset user can specifically be the user who participates in camping and sits in this vehicle, while the user who also participates in camping but does not sit in this vehicle can be regarded as other users.

[0051] Among them, the target area is specifically an image area that focuses on the preset user or the preset item in the specific scenario as the center.

[0052] In this way, the preset items in the embodiments provided by the present application in specific scenarios can be specifically but not limited to barbecue grills, tents, dining tables, etc.

[0053] Optionally, in addition to determining the preset users that have been stored and marked, the embodiments provided by the present application also determine whether there are other users other than the preset users in the target area.

[0054] Here, in addition to the preset users who are participating in camping and sitting in this vehicle in the target area, there may also be other users who are participating in camping but not in this vehicle (i.e., new preset users). Therefore, it is particularly important to determine how to identify other users.

[0055] If there are any, obtain the distance between the other user and the preset user, and the stay time of the other user in the target area; and based on the distance and the stay time, determine whether to identify the other user as a new preset user.

[0056] Here, when there are other users other than the preset users in the target area, and the stay time of the other user in the target area is less than the preset stay time, or the distance between the other user and any preset user is less than the preset distance, it means that this other user is a friend of the above-mentioned preset users and is a new preset user participating in camping.

[0057] And in the embodiments provided by the present application, the preset user list can be updated in real time by specifically numbering the preset users.

[0058] Among them, the magnitude of the preset stay time and the length of the preset distance can be customarily set according to different application scenarios.

[0059] In this way, the preset stay time in the embodiments provided by the present application can be specifically 0.5 meters, and the preset distance in the embodiments provided by the present application can be specifically 2 minutes.

[0060] S102. Based on the appearance features of the preset user and the morphological features of the preset item, determine whether there is an action interaction between the preset user and the preset item in the target area.

[0061] In this step, taking the layout of a barbecue grill in camping as an example, based on the appearance features of the preset user and the determined positioning of the barbecue grill, determine whether there are action interactions such as the preset user assembling the barbecue grill, placing trays, adding charcoal, and placing barbecue items in the target area where the barbecue grill is located.

[0062] S103. If there is, take a snapshot of the target area.

[0063] In this step, if there are preset users performing action interactions such as assembling a barbecue grill, placing trays, adding charcoal, and placing barbecue items in the target area, capture the images of the preset users and preset items in the target area, and record the life images of the preset users when assembling the barbecue grill. At this time, if another or multiple other preset users approach the target area to assemble the barbecue grill, take a group photo of all the preset users and the barbecue grill in the target area, and record the group photo of multiple preset users when assembling the barbecue grill.

[0064] Optionally, step S103 captures the target area according to the following sub-steps:

[0065] Sub-step 1031: Determine whether to capture the action interaction between the preset user and the preset item in the target area historically; if not, capture the target area.

[0066] In this step, before determining whether there is an action interaction between the preset user and the preset item in the target area, it is first necessary to determine whether there is a historical capture of the action interaction between the preset user and the preset item in the target area. If there is, and the image after the historical capture of the action interaction is saved, then this time, there is no need to repeat capturing the target area; if not, it means that the action interaction in this scenario is a new action interaction. At this time, it is necessary to capture the target area where the action interaction is located.

[0067] In summary, after capturing the target area in the embodiment provided by the present application, the target video images of the target area generated after capturing multiple people or a single person will be saved for preview and download by the preset user.

[0068] In the above, the ways for the preset user to preview and download the target video images can be custom-set according to different application scenarios. For example, in the embodiment provided by the present application, the ways for previewing and downloading the target video images include but are not limited to using Bluetooth communication to send the above target video images to the mobile phone.

[0069] The following lists a specific embodiment to illustrate the image capture steps when arranging a barbecue grill during camping:

[0070] Step 1: Receive a request for obtaining a barbecue grill in the video image to be detected.

[0071] Step 2: Adjust the shooting focus and angle so that the barbecue grill scene appears in the center of the scene.

[0072] Step 3: When it is detected that preset user A has an action interaction with the barbecue grill (such as assembling the barbecue grill, placing trays, adding charcoal, and placing barbecue items, etc.), query whether preset user A has a separate photo in this scenario.

[0073] Step 4: If not, capture the action interaction between the preset user A and the barbecue grill, and mark that the preset user A has taken a photo in this scene; if so, do not capture the action interaction between the preset user A and the barbecue grill.

[0074] Step 5: After the preset user A leaves, if it is detected that the preset user B has an action interaction with the barbecue grill, similarly, query whether the preset user B has a separate photo in this scene. If not, capture the action interaction between the preset user B and the barbecue grill, and mark that the preset user B has taken a photo in this scene; if so, do not capture the action interaction between the preset user B and the barbecue grill.

[0075] Step 6: If it is detected that the preset user A and the preset user B appear simultaneously and have an interaction with the barbecue grill, first query whether the preset user A and the preset user B have a group photo in this scene. If not, capture it and mark that the preset user A and the preset user B have taken a group photo in this scene; if so, do not capture it again.

[0076] In the above steps, the separate photos and group photos of the preset users are counted separately and do not affect each other. The preset user can have both group photos and separate photos, and the number of captures for a single gesture change or action change is preset and will not capture the same action indefinitely.

[0077] Compared with the image capture method in the prior art, the image capture method in a specific scene provided by the embodiment of the present application determines whether there is an action interaction between the preset user and the preset item in the target area by the appearance features of the preset user and the morphological features of the preset item, and captures the target area when there is an action interaction, which can automatically capture images when the user changes in a special scene, improving the quality and effectiveness of the captured images.

[0078] Please refer to Figure 2 , Figure 2 which is the second flowchart of an image capture method in a specific scene of the present application. As shown in Figure 2 , the image capture method in a specific scene provided by the embodiment of the present application includes the following steps:

[0079] S201: Receive a request for obtaining a target video image of a target area in a to-be-detected video image; the obtaining request includes the appearance features of a preset user and the morphological features of a preset item in a specific scene.

[0080] S202: Based on the appearance features of the preset user, determine whether there is a posture change of the preset user in the target area.

[0081] In this step, after determining the appearance features of the preset user, the type of the preset user can be first determined based on the appearance features of the preset user, such as an adult or a child. Specifically, whether the preset user is an adult or a child can be determined based on the different heights and weights of adults and children. If it is an adult, whether there is a posture change of the adult in the target area, that is, whether the posture change of the adult satisfies the preset gesture change. If the posture change of the adult satisfies the preset gesture change, the vehicle will capture the photo within the preset time after recognition, and focus on it to ensure that the adult is in the middle of the photo.

[0082] Here, if the preset user is determined to be a child based on the corresponding height and weight, then on the basis of identifying that the child's posture changes meet the preset gesture changes, some special action changes of the child can also be identified, such as running, lying down, sitting down, crawling and raising hands, and after the vehicle recognizes it, it will capture the photo within the preset time and focus on it to ensure that the child is in the center of the photo.

[0083] Optionally, the appearance features include user height features, user weight features, and user facial features, and the preset posture change rules include preset gesture change rules and preset action change rules. Therefore, step S202 includes the following sub-steps:

[0084] Sub-step 2021: based on the user height feature, the user weight feature and the user facial feature of the preset user, determine the type of the preset user in the target area.

[0085] In this step, based on the user height feature, the user weight feature and the user facial feature of the preset user, it is determined whether the preset user in the marked area is an adult or a child.

[0086] Here, the height and weight of adults are generally much greater than those of children.

[0087] Sub-step 2022: If the preset user type is an adult, determine whether there is any gesture change of the adult in the target area.

[0088] In this step, it is determined whether the adult's posture change meets the preset gesture change. If the adult's posture change meets the preset gesture change, the vehicle will take a snapshot within the preset time after recognition and focus to ensure that the adult is in the center of the photo.

[0089] Here, the preset gesture changes can be customized, designed, modified, and added according to different application scenarios, different usage environments, and different people's habitual cognition of different scenarios.

[0090] Among them, the preset gesture changes in the embodiments provided by the present application may specifically but not limitedly be gesture changes when a preset user takes a group photo with landscapes such as the setting sun and flowers.

[0091] Sub-step 2023: If the type of the preset user is a child, determine whether there are gesture changes and / or movement changes of the child in the target area.

[0092] In this step, on the basis of recognizing that the posture change of the child meets the preset gesture change, some special movement changes of the child can also be recognized, such as running, lying down, sitting, crawling, and raising hands and other special movement changes. After the vehicle recognizes them, it captures pictures within a preset time and performs focus focusing to ensure that the child is in the middle of the photo.

[0093] S203: If so, determine whether the posture change meets the preset posture change rule.

[0094] In this step, it is determined whether the posture change of an adult or a child is consistent with the preset posture change set in advance.

[0095] Optionally, the posture change includes gesture change and movement change. Therefore, in step S303, the following sub-steps are used to determine whether the posture change meets the preset posture change rule:

[0096] Sub-step 2031: Determine whether the gesture change of the child meets the preset gesture change rule, and / or whether the movement change of the child meets the preset movement change rule, and determine whether the gesture change of the adult meets the preset gesture change rule.

[0097] Here, it is determined whether the gesture change of the child is consistent with the preset movement change rule in the preset posture change set in advance.

[0098] Among them, the preset movement change rules in the embodiments provided by the present application may specifically but not limitedly be the preset movement change rules of special movements such as running, lying down, sitting, crawling, and raising hands.

[0099] S204: If it meets, capture the target area.

[0100] In this step, if the gesture change of the child is consistent with the preset movement change rule in the preset posture change set in advance, the target area where the above child is located is captured.

[0101] S205: Based on the appearance characteristics of the preset user and the morphological characteristics of the preset item, determine whether there is an action interaction between the preset user and the preset item in the target area.

[0102] S206: If so, capture the target area.

[0103] Among them, the descriptions of S201 and S205 to S206 can refer to the descriptions of S101 and S102 to S103, and the same technical effects can be achieved, so no further elaboration is provided here.

[0104] Compared with the image capture method in the prior art, the image capture method in a specific scenario provided by the embodiments of the present application determines whether there is an action interaction between a preset user and a preset item in the target area by presetting the appearance features of the user and the morphological features of the preset item, and captures the target area when there is an action interaction, which can automatically capture images when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

[0105] Please refer to Figure 3 、 Figure 4 and Figure 5 , Figure 2 which is one of the structural schematic diagrams of an image capture device in a specific scenario provided by the embodiments of the present application, Figure 4 which is another structural schematic diagram of an image capture device in a specific scenario provided by the embodiments of the present application, Figure 5 which is the third structural schematic diagram of an image capture device in a specific scenario provided by the embodiments of the present application. As Figure 3 shown in

[0106] A receiving module 410, configured to receive a request for obtaining a target video image of a target area in a video image to be detected; the obtaining request includes the appearance features of a preset user and the morphological features of a preset item in a specific scenario.

[0107] A first determination module 420, configured to determine whether there is an action interaction between the preset user and the preset item in the target area based on the appearance features of the preset user and the morphological features of the preset item.

[0108] A first capture module 430, configured to capture the target area if there is an action interaction.

[0109] Optionally, the first capture module 430 is specifically configured to:

[0110] Determine whether to perform historical capture on the action interaction existing between the preset user and the preset item in the target area.

[0111] If not, capture the target area.

[0112] The image capture device 400 in a specific scenario provided by the embodiments of the present application, compared with the image capture in a specific scenario in the prior art, the embodiments provided by the present application preset the appearance characteristics of the user and the morphological characteristics of the preset item, determine whether there is an action interaction between the preset user and the preset item in the target area, and capture the target area when there is an action interaction, which can automatically capture images when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

[0113] Further, as Figure 4 shown, the image capture device 400 in a specific scenario includes:

[0114] A receiving module 410, configured to receive a request for obtaining a target video image of a target area in a to-be-detected video image; the obtaining request includes the appearance characteristics of a preset user and the morphological characteristics of a preset item in a specific scenario.

[0115] A first judgment module 420, configured to judge whether there is an action interaction between the preset user and the preset item in the target area based on the appearance characteristics of the preset user and the morphological characteristics of the preset item.

[0116] A first capture module 430, configured to capture the target area if there is an action interaction.

[0117] Optionally, the first capture module 430 is specifically configured to:

[0118] Judge whether to perform a historical capture of the action interaction between the preset user and the preset item in the target area;

[0119] If not, capture the target area.

[0120] A second judgment module 440, configured to judge whether there is a posture change of the preset user in the target area based on the appearance characteristics of the preset user.

[0121] Optionally, the appearance characteristics include the user height characteristic, the user weight characteristic, and the user facial characteristic, and the second judgment module 440 is specifically configured to:

[0122] Based on the user height characteristic, the user weight characteristic, and the user facial characteristic of the preset user, judge the type of the preset user in the target area.

[0123] If the type of the preset user is an adult, judge whether there is a gesture change of the adult in the target area.

[0124] If the type of the preset user is a child, judge whether there is a gesture change and / or an action change of the child in the target area.

[0125] A third judgment module 450, configured to, if any, judge whether the posture change satisfies a preset posture change rule.

[0126] Optionally, the preset posture change rule includes a preset gesture change rule and a preset action change rule. Specifically, the third judgment module 450 is configured to:

[0127] Judge whether the gesture change of an adult satisfies the preset gesture change rule.

[0128] And judge whether the gesture change of a child satisfies the preset gesture change rule, and / or whether the action change of the child satisfies the preset action change rule.

[0129] A second capture module 460, configured to, if satisfied, capture the target area.

[0130] Compared with the image capture device 400 in a specific scenario in the prior art, the image capture device 400 in a specific scenario provided by the embodiments of the present application judges whether there is an action interaction between a preset user and a preset item in the target area by presetting the appearance features of the user and the morphological features of the preset item, and captures the target area when there is an action interaction, so that automatic image capture can be performed when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

[0131] Further, as Figure 5 shown, the image capture device 400 in a specific scenario includes:

[0132] A receiving module 410, configured to receive a request for obtaining a target video image of a target area in a to-be-detected video image; the obtaining request includes the appearance features of a preset user and the morphological features of a preset item in a specific scenario.

[0133] A first judgment module 420, configured to judge whether there is an action interaction between a preset user and a preset item in the target area based on the appearance features of the preset user and the morphological features of the preset item.

[0134] A first capture module 430, configured to, if any, capture the target area.

[0135] Optionally, the first capture module 430 is specifically configured to:

[0136] Judge whether to perform historical capture on the action interaction existing between a preset user and a preset item in the target area;

[0137] If not, capture the target area.

[0138] The second judgment module 440 is configured to determine whether there is a posture change of a preset user in the target area based on the appearance features of the preset user.

[0139] Optionally, the appearance features include the user height feature, the user weight feature, and the user face feature. The second judgment module 440 is specifically configured to:

[0140] Based on the user height feature, the user weight feature, and the user face feature of the preset user, determine the type of the preset user in the target area.

[0141] If the type of the preset user is an adult, determine whether there is a gesture change of the adult in the target area.

[0142] If the type of the preset user is a child, determine whether there is a gesture change, and / or an action change of the child in the target area.

[0143] The third judgment module 450 is configured to, if any, determine whether the posture change satisfies a preset posture change rule.

[0144] Optionally, the preset posture change rule includes a preset gesture change rule and a preset action change rule. The third judgment module 450 is specifically configured to:

[0145] Determine whether the gesture change of the adult satisfies the preset gesture change rule.

[0146] And determine whether the gesture change of the child satisfies the preset gesture change rule, and / or whether the action change of the child satisfies the preset action change rule.

[0147] The second capture module 460 is configured to, if satisfied, capture the target area.

[0148] The fourth judgment module 470 is configured to determine whether there is another user other than the preset user in the target area.

[0149] The acquisition module 480 is configured to, if any, acquire the distance between the other user and the preset user, and the staying time of the other user in the target area.

[0150] The determination module 490 is configured to determine whether to determine the other user as a new preset user based on the distance and the staying time.

[0151] The image capture device 400 in a specific scenario provided by the embodiments of the present application, compared with the image capture in a specific scenario in the prior art, the embodiments provided by the present application preset the appearance features of the user and the morphological features of the preset item, determine whether there is an action interaction between the preset user and the preset item in the target area, and capture the target area when there is an action interaction, which can automatically capture images when the user changes in a special scenario, improving the quality and effectiveness of the captured images.

[0152] Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of an electronic device provided by the embodiments of the present application. As Figure 6 shown in

[0153] The memory 620 stores machine-readable instructions executable by the processor 610. When the electronic device 600 runs, the processor 610 communicates with the memory 620 through the bus 630. When the machine-readable instructions are executed by the processor 610, the steps of the image capture method in a specific scenario in the method embodiments as described above can be executed. The specific implementation manner can refer to the method embodiments and will not be elaborated here. Figure 1 and Figure 3 shown.

[0154] The embodiments of the present application also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run by a processor, the steps of the image capture method in a specific scenario in the method embodiments as described above can be executed. The specific implementation manner can refer to the method embodiments and will not be elaborated here. Figures 1 to 3 shown.

[0155] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0156] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces. The indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other form.

[0157] The unit described as a separation component may or may not be physically separated. The component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0158] In addition, each functional unit in various embodiments of the present application may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0159] If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0160] Finally, it should be noted that: the above-described embodiments are only specific implementation manners of the present application, used to illustrate the technical solutions of the present application, rather than limiting it. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present application can still modify the technical solutions described in the foregoing embodiments, or can easily think of changes, or make equivalent replacements for some of the technical features; and these modifications, changes, or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An image capture method in a specific scenario, characterized in that, the image capture method in the specific scenario includes: Receiving a request for obtaining a target video image of a target area in a video image to be detected; the acquisition request includes the appearance characteristics of a preset user and the morphological characteristics of a preset item in a specific scenario; Based on the appearance characteristics of the preset user and the morphological characteristics of the preset item, determining whether there is an action interaction between the preset user and the preset item in the target area; If there is, capturing the target area; Capturing the target area according to the following steps: Determining whether to perform historical capture on the action interaction between the preset user and the preset item in the target area; If not, capturing the target area; The image capture method in the specific scenario further includes: Based on the appearance characteristics of the preset user, determining whether there is a posture change of the preset user in the target area; If there is, determining whether the posture change satisfies a preset posture change rule; If it is satisfied, capturing the target area; The image capture method in the specific scenario further includes: Determining whether there are other users other than the preset user in the target area; If there are, obtaining the distance between the other user and the preset user, and the staying time of the other user in the target area; Based on the distance and the staying time, determining whether to determine the other user as a new preset user.

2. The image capture method in a specific scenario according to claim 1, characterized in that, the appearance characteristics include user height characteristics, user weight characteristics and user facial characteristics, the posture change includes gesture change and action change, and based on the appearance characteristics of the preset user, determining whether there is a posture change of the preset user in the target area includes: Based on the user height characteristics, the user weight characteristics and the user facial characteristics of the preset user, determining the type of the preset user in the target area; If the type of the preset user is an adult, determining whether there is a gesture change of the adult in the target area; If the type of the preset user is a child, determining whether there is a gesture change of the child in the target area, and / or an action change.

3. The image capture method in a specific scenario according to claim 2, characterized in that, the preset posture change rule includes a preset gesture change rule and a preset action change rule, and the following method is used to determine whether the posture change satisfies the preset posture change rule: Determining whether the gesture change of the adult satisfies the preset gesture change rule, and determining whether the gesture change of the child satisfies the preset gesture change rule, and / or whether the action change of the child satisfies the preset action change rule.

4. An image capture device in a specific scenario, characterized in that, the image capture device in the specific scenario includes: A receiving module, configured to receive a request for obtaining a target video image of a target area in a video image to be detected; the acquisition request includes the appearance characteristics of a preset user and the morphological characteristics of a preset item in a specific scenario; A first judgment module, configured to judge whether there is an action interaction between a preset user and a preset article in the target area based on the appearance features of the preset user and the morphological features of the preset article; A first capture module, configured to capture the target area if there is an action interaction; The first capture module is specifically configured to: Judge whether to perform historical capture on the action interaction existing between the preset user and the preset article in the target area; If not, capture the target area; The image capture device in the specific scenario further includes: A second judgment module, configured to judge whether there is a posture change of the preset user in the target area based on the appearance features of the preset user; A third judgment module, configured to judge whether the posture change meets a preset posture change rule if there is a posture change; A second capture module, configured to capture the target area if it is satisfied; The image capture device in the specific scenario further includes: A fourth judgment module, configured to judge whether there is another user other than the preset user in the target area; An acquisition module, configured to acquire the distance between the other user and the preset user and the staying time of the other user in the target area if there is another user; A determination module, configured to determine whether to determine the other user as a new preset user based on the distance and the staying time.

5. An electronic device, characterized in that it includes: A processor, a memory and a bus, where the memory stores machine-readable instructions executable by the processor. When the electronic device runs, the processor communicates with the memory through the bus. When the machine-readable instructions are run by the processor, the steps of the image capture method in the specific scenario according to any one of claims 1 to 3 above are executed.

6. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, the steps of the image capture method in the specific scenario according to any one of claims 1 to 3 above are executed.

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