CN116668755A - Intelligent sharing method for pictures or videos shot by home cameras - Google Patents

Intelligent sharing method for pictures or videos shot by home cameras Download PDF

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Publication number
CN116668755A
CN116668755A CN202310514180.4A CN202310514180A CN116668755A CN 116668755 A CN116668755 A CN 116668755A CN 202310514180 A CN202310514180 A CN 202310514180A CN 116668755 A CN116668755 A CN 116668755A
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CN
China
Prior art keywords
home
personnel
account
list
camera
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Pending
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CN202310514180.4A
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Chinese (zh)
Inventor
廖毓功
苏航
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Shenzhen Kelp Intelligent Co ltd
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Shenzhen Kelp Intelligent Co ltd
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Priority to CN202310514180.4A priority Critical patent/CN116668755A/en
Publication of CN116668755A publication Critical patent/CN116668755A/en
Pending legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4318—Generation of visual interfaces for content selection or interaction; Content or additional data rendering by altering the content in the rendering process, e.g. blanking, blurring or masking an image region
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/22—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2379—Updates performed during online database operations; commit processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/07—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail characterised by the inclusion of specific contents
    • H04L51/10—Multimedia information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25875—Management of end-user data involving end-user authentication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223—Cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
    • H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/462—Content or additional data management, e.g. creating a master electronic program guide from data received from the Internet and a Head-end, controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
    • H04N21/4627—Rights management associated to the content
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4751—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user accounts, e.g. accounts for children

Abstract

The invention discloses a method for intelligently sharing pictures or videos shot by a home camera, wherein an account corresponding to a home monitoring camera acquires a resident list according to the setting of preset time and preset space, so that the account and the sharing authority of the resident list are bound; when the account shares the shot content of the home monitoring camera, the shot content is analyzed according to the sharing authority of the account, the first step of personalized processing of the shot content is completed, and the second step of personalized processing is carried out on the shot content according to the sharing authority judgment of the sharing object. The invention provides a home camera shooting picture or video intelligent sharing method, which is characterized in that home resident personnel information is collected through a home monitoring camera, when a user wants to share a monitoring picture or video clip to a social platform, a personnel list to be personalized is extracted through a resident personnel list of the current home and privacy class information of an account, so that personalized processing is carried out on contents to be shared step by step.

Description

Intelligent sharing method for pictures or videos shot by home cameras
Technical Field
The invention relates to the technical field of privacy processing, in particular to an intelligent sharing method for pictures or videos shot by a household camera.
Background
With the trend of network sharing of graphics and texts and videos, more and more users like to share personal or family life on a social platform, on the other hand, home installation home monitoring cameras are gradually popularized due to requirements of safety or connection and the like, and the home monitoring cameras can be connected and checked through a smart phone client, so that the users start to share shooting pictures or video clips of the home monitoring cameras to the social platform.
The home monitoring camera is generally installed in a resident home, such as a living room, a room and other home internal positions, so that real-time conditions of the home can be better and more conveniently checked, dynamic images can be checked in the aspect of taking care of old people, children, pets and the like in the home, and in addition, additional requirements for theft prevention, highlight segments for home gathering and the like are provided.
However, the home surveillance camera is fixed, and the personnel in the home environment are not fixed, and other personnel may exist besides the family, so that privacy of other users may be leaked by random sharing, privacy rights, portrait rights, etc. of other people are infringed, and therefore an intelligent image and video sharing method is needed to improve the security of the home surveillance camera with respect to privacy protection.
Disclosure of Invention
In order to realize the problem of sharing of an automatic and intelligent social platform of a home monitoring camera picture, the invention provides a home camera shooting picture or video intelligent sharing method, which is characterized in that home resident personnel information is collected by a home monitoring camera, and a current home resident personnel list comprising characteristic information of resident personnel is obtained by analyzing a large amount of real-time video or picture data. When a user wants to share a monitoring picture or video clip to a social platform, a monitoring system cloud server is used for intelligently analyzing the content to be shared according to a database corresponding to the camera, personnel information in the content is extracted and is compared with a resident list of the current family stored on the monitoring server, configuration information of the privacy class of an account is read, corresponding authorization solicitation information is adopted, and therefore a personnel list needing mosaic processing is extracted and personalized processing is carried out step by step according to the obtained privacy protection strategy. When sharing is carried out on the appointed users, by reading personnel in the content to be shared and the information of the shared users, whether the shared content contains other personnel information except the users of the two parties and the corresponding family personnel is obtained, and personalized processing is carried out on the shared content according to privacy protection strategies authorized by the other personnel on the personnel of the two parties, so that the safety and the content integrity of the shared content are ensured.
The technical scheme of the invention is as follows:
the method comprises the steps that an account corresponding to a home monitoring camera acquires a resident list according to the preset time and the preset space, so that the account is bound with the sharing authority of the resident list;
when the account shares the shot content of the home monitoring camera, the shot content is analyzed according to the sharing authority of the account, the first step of personalized processing of the shot content is completed, and the second step of personalized processing is carried out on the shot content according to the sharing authority judgment of the sharing object.
In the invention, the shooting content of the home monitoring camera is uploaded to the monitoring system cloud server, and the user logs in the account of the smart phone client to access the shooting content of the corresponding home monitoring camera in the monitoring system cloud server through the Internet. On the basis, the user sets the time for acquiring the information of the frequent people of the home monitoring camera through the smart phone client, or the user realizes automatic information acquisition according to the self monitoring picture of the home monitoring camera, and finally obtains a frequent people list, and the list is updated in real time according to the content of the monitoring picture. And binding the personnel in the frequent person list with the sharing authority of the account, namely, the sharing authority (personal privacy authority) of the account is the same as the sharing authority of the personnel in the frequent person list, and omitting the confirmation process. When the account shares the shooting content of the home monitoring camera, personalized processing (privacy processing such as mosaic) is performed on the shooting content according to the privacy authority of the account, then whether other accounts of the shooting content need to be further subjected to privacy authority is judged according to the shared object, and in the process of asking for the privacy authority, a resident personnel list corresponding to the account of the asking for object also exists in the account of the asking for object, and the privacy authority of personnel in the resident personnel list is the same as the privacy authority of the account of the asking for authority, namely only the asking for authority of one person of the account is needed.
According to the intelligent sharing method for the pictures or videos shot by the home camera, the home monitoring camera is connected with the internet through the home router, so that the home monitoring camera is connected with the monitoring system cloud server and the intelligent mobile phone client through the internet, and the intelligent mobile phone client is connected with the monitoring system cloud server through the internet and performs information interaction.
According to the intelligent sharing method for the pictures or videos shot by the home camera, after the home monitoring camera is installed and debugged at the target position, the home monitoring camera is started, and enters the resident personnel acquisition module to acquire data of personnel in a monitoring range, wherein the data comprise facial feature data acquisition and figure feature data acquisition.
Further, the home monitoring camera is provided with a motion detection module and a humanoid detection module, when the home monitoring camera is started, the motion detection module or the humanoid detection module is started after being triggered, a corresponding prompt signal is sent, the home monitoring camera is used for capturing images, capturing images are obtained and uploaded to the monitoring system cloud server, after receiving the capturing images, the monitoring system cloud server is used for scanning and detecting humanoid in the capturing images, related personnel data are obtained, and a database is independently established.
And further, in the follow-up snapshot and scanning detection, comparing and comparing the characteristic data with the related data of the person, judging the person as the same person if the characteristic data value is within the precision threshold value, recording the snapshot picture and the extracted data in the same database, and expanding the content of the database.
Still further, in the unit time, the home monitoring camera records the trigger time point and duration of motion detection or humanoid detection, assigns the trigger frequency and duration of the time point according to a preset calculated value, calculates the priority of the time point according to specific gravity, and sets the priority as the snapshot time point of the next unit time.
Further, the monitoring system cloud server obtains a personnel sorting list based on the received monitoring pictures, analyzes three pieces of statistical information including the occurrence frequency of personnel, the occurrence time point of personnel and the occurrence time length of personnel, assigns values to the personnel statistical information collected with data according to preset specific gravity and calculates the specific gravity to obtain the personnel information sorting list, and calculates the personnel statistics of which the specific gravity calculation result meets the judgment threshold value range to form a resident personnel list.
According to the intelligent sharing method for the pictures or videos shot by the home cameras, the cloud server of the monitoring system performs real-name authentication of the accounts aiming at each home monitoring camera, associates the resident lists with the corresponding accounts, and forms association relations among the accounts, the people and the resident lists.
Further, the account sets privacy classes, wherein the privacy classes comprise an unprotected class, a restricted principal class, a restricted family class and a restricted authorization class, and when the monitoring system cloud server shares the image, privacy class determination is required for people identified in the content picture.
Still further, when the account shares the content monitored by the home monitoring camera corresponding to the account through the smart phone client, the monitoring system cloud server detects the personnel in the content to be shared first to obtain a personnel list to be processed, and the monitoring system cloud service detects the privacy policy set in the personnel list to be processed and carries out corresponding processing.
According to the scheme, the invention has the beneficial effects that,
1. the invention realizes automatic privacy processing when shooting content for sharing, can automatically identify personnel of the content to be shared, and then automatically performs personalized processing or transmission of authorization requests according to privacy class settings of corresponding personnel, thereby completely eliminating the need of operation of users.
2. According to the method and the device for updating the frequent person list, the frequent person list is updated regularly according to the real-time shooting content, so that more accurate frequent person information is obtained, and the correctness and the integrity of sharing privacy are ensured.
3. The invention establishes the resident list and the corresponding database information in the cloud server of the monitoring system, is beneficial to the subsequent personal utilization of the information, is beneficial to the subsequent expansion of other services, such as accessing other applications in the smart phone client, and is related with the account number and the database information so as to realize the subsequent service expansion, the related applications of the user and the like, and in addition, the information transfer can be opened, so that the user can transfer out the personal and the corresponding resident list information through the account and the like.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The method comprises the steps that an account corresponding to a home monitoring camera acquires a resident list according to the preset time and the preset space, so that the account is bound with the sharing authority of the resident list; when the account shares the shot content of the home monitoring camera, the shot content is analyzed according to the sharing authority of the account, the first step of personalized processing of the shot content is completed, and the second step of personalized processing is carried out on the shot content according to the sharing authority judgment of the sharing object.
The home monitoring camera is generally accessed to the home wireless router through a wired or wireless method, and is accessed to the Internet through the home wireless router, so that connection with a monitoring system cloud server in the Internet and connection with a smart phone client are realized, a user can directly check a monitoring picture of the home monitoring camera through the corresponding client on the smart phone, and can also access the monitoring system cloud server in the Internet through the client of the smart phone, so that a history monitoring picture on the cloud server is obtained.
After the home monitoring camera is installed and debugged at the target position, the home monitoring camera is started, enters the resident personnel acquisition module, and performs data acquisition on personnel in the monitoring range, including face feature data acquisition and figure feature data acquisition.
In a specific embodiment, after a home monitoring camera starts a running program of motion detection or human shape detection, capturing the human shape of motion according to a preset capturing program, triggering a corresponding alarm signal (prompt signal) and simultaneously capturing a picture, and uploading a picture generated by capturing to a monitoring system cloud server. And the cloud server of the monitoring system scans and detects the humanoid in the snap-shot picture after receiving the snap-shot picture, realizes operations such as feature extraction, structured information collection and the like, obtains personnel related data, independently establishes a database, compares and compares the personnel related data with the humanoid data in the follow-up snap-shot and scan detection, judges the same personnel if the numerical values of the feature data and the like are within the precision threshold value, records the snap-shot picture and the extracted data in the same database, and expands the content of the database. In addition, statistics is carried out on personnel in the snap shot pictures, the frequency and time of occurrence of corresponding personnel are obtained through the acquisition of multiple snap shot pictures, and the frequency and time are recorded in a database corresponding to the personnel.
The snapshot frequency is customized according to the smart phone client, personnel information which is snapped in 24 hours can be obtained by taking 24 hours as a unit, and information data collection of frequent personnel can be performed by timing snapshot.
In a specific embodiment, a user sets a snapshot time point through a smart phone client, and the timing snapshot is realized according to living time, dining and eating time, rest time and the like of a resident. The timing snapshot function can be intelligently timed by combining trigger mechanism time such as motion detection or humanoid detection. In a specific embodiment, a family monitoring camera detects the number of times of preset motion detection or humanoid detection triggered every day in a week by taking the week (or other time units) as a unit, records a plurality of time points with more starting trigger mechanisms and longer duration, namely the frequency and detection duration of the trigger detection mechanisms, respectively records the numerical values of the two time points and the corresponding time points, calculates the comprehensive numerical value of the frequency and the duration of each time point through preset proportion (in the calculation process, any frequency corresponds to one calculated value, the higher the frequency is, the larger the calculated value is, or the trigger frequency is directly adopted as the calculated value), calculates the duration as one calculated value according to a certain duration, the longer the calculated value is, calculates the calculated value of the time point according to the proportion between the preset frequency and the duration of the requirement, and obtains a plurality of time points with the largest calculated value, thereby obtaining the ranking of the recording priority of each time point. And recording a time point with high priority by the home monitoring camera, and starting to take shots at regular intervals at the time point, or directly adopting video recording to obtain corresponding personnel information. The snapshot detection time point may be refreshed in units of weeks (or other units of time). In a specific embodiment, after statistics of one week, the home monitoring camera calculates the frequency and duration of the time point of the trigger mechanism according to the current week to obtain a new ranking of the recording priority of the time point, and obtain a new time point with high priority, at this time, the home monitoring camera takes the new time point with high priority as a new timing snapshot detection time, and performs snapshot detection according to the time point in the next week (the next unit time), so as to achieve the acquired resident information and update resident information.
After capturing pictures of a plurality of continuous normal persons starting from a time point are obtained, the content of the captured pictures is analyzed according to the prior art, character information of the pictures is extracted, and structural information of the persons in the captured pictures is obtained after semi-structural processing, feature extraction and structural processing. The structured information comprises personnel age, sex, personnel number, face information, figure information and the like, the personnel age, the sex, the personnel number, the face information, the figure information and the like are uploaded to a cloud server of the monitoring system, a corresponding personnel database is established, the database is numbered, the structured information is identified and obtained in subsequent snap shots and is compared and matched with the structured information in the database, the matching result of the newly-entered structured information accords with a certain threshold range, and the corresponding structured information is stored in the corresponding database. The monitoring system cloud server analyzes the snap shots every day, a personnel information list is obtained through the input of the structured information, and the personnel information list is newly added with content through continuously updated data to perfect the structured information of corresponding personnel.
After the monitoring system cloud server obtains the structured information of the personnel, based on the monitoring picture (video image), a personnel sorting list is obtained through statistics on information such as the occurrence frequency of the personnel, the occurrence time point of the personnel, the occurrence time length of the personnel and the like (a home monitoring camera uploads the monitoring image to the monitoring system cloud server through the internet connected with a router), and the monitoring system cloud server identifies the image obtained through motion detection or human form detection according to an established personnel database and judges the image picture of each personnel, so that the information of various occurrences of the personnel is obtained. The information such as the frequency of occurrence of the personnel, the time point of occurrence of the personnel, the time length of occurrence of the personnel and the like can be sequenced according to different preset weights, and a personnel information sequencing list can be obtained according to weighted calculation. The design of the weight value is easier for the normal actions made by the resident in the place monitored by the home monitoring camera, and is logically more easier for the daily activities of the resident, in particular, the person appearing at 7 a.m. is more weighted than the person appearing at 10 a.m. i.e. more likely to be the resident residing in the house. And the monitoring system cloud server sets the personnel with the calculated weight value larger than the preset threshold value as the resident personnel (usually defaulting to family) according to the ordered list and the calculated weight value, and establishes a resident personnel list. The resident list is updated synchronously according to the updated personnel information list and the personnel information sorting list in unit time. The same resident list is considered to be the same home user.
The user to which the home monitoring camera belongs and the resident in the home monitoring camera monitoring place are mutually authorized, namely, the user to which the home monitoring camera belongs can share the monitoring picture or video image fragment in the resident, in one implementation, the home monitoring camera is equivalent to the home monitoring camera arranged in the home, and the user and the resident share the monitoring picture and the image. If the monitoring picture or the monitoring image only comprises the user and the resident, the monitoring system cloud server defaults that the user has obtained the authorization of all the people in the picture, and the user can directly issue to the social platform through the monitoring system cloud server without personalized and privacy treatment.
Further, in order to strictly protect the privacy of each person and prevent privacy disclosure, stricter privacy restrictions may also be realized by increasing the level of privacy protection. The privacy protection level may be set according to the actual situation, and in a specific embodiment, the privacy protection level includes an unprotected level, a home only level, an authorized only level, and the like. In one embodiment, when the privacy level of user B (account B) is at an unprotected level, user a may share the picture or image containing user B directly. In a specific embodiment, when the privacy class of the user B is only authorized, the user a needs to obtain the authorization of the user B to share, and the monitoring system cloud server sends an authorization request to the smart phone client of the user B, and determines whether to perform mosaic processing for the user B according to feedback information about whether the user B is authorized or not. In a specific embodiment, when the privacy class of the user B is only personal, only the user B is allowed to share, and other users cannot share the content picture shot by the home monitoring camera. If the privacy class of the user B is home-only, only the resident users in the house where the home monitoring camera used by the user B is located are allowed to share, and cannot share to the places except the resident person list.
Aiming at the situation that no person corresponding to the cloud server account number of the monitoring system exists in the picture shot by the home monitoring camera, sharing is carried out by default in an unauthorized strategy, namely, personalized processing is carried out on pictures of persons outside a resident person list in the shared content by default, such as mosaic adding, blurring or personalized sticker adding, and the like. For such personnel, for the specific personnel who live very much but often occur, the related picture sharing can set the corresponding authorization time point and the authorization policy related to the authorization duration, and the policy adjustment can be performed in specific cases.
The cloud server of the monitoring system performs real-name authentication of the account aiming at each household monitoring camera, and can associate a resident list obtained in the monitoring range of the household monitoring camera with a corresponding account. In a specific embodiment, when the real-name authentication is successful, the picture acquired by the real-name authentication is stored and is associated with the corresponding account. When the family monitoring camera generates a resident list, the resident list is associated with an account number in the monitoring system cloud server system and compared with the similarity, the resident is considered to be the same person after the similarity is larger than a set threshold value, and the account number, the resident (personal information, including action characteristic data, figure characteristic data, looks characteristic data and the like) and the resident list are associated.
When a user (or an account) wants to share the content monitored by the home monitoring camera corresponding to the account through the smart phone client, the monitoring system cloud server detects the personnel in the content to be shared to obtain a personnel list to be processed, and the monitoring system cloud service detects the privacy policy set in the personnel list to be processed and carries out corresponding processing. In a specific embodiment, when the user a shares the content picture with the home monitoring camera, the shared content includes a user a, a user B, a user C (a person in a resident person list where the user a is located), a user D (a person in a resident person list where the user B is located), and a user E (a person in a resident person list where the user a and the user B are not located), and when the user a shares the content in the monitoring system cloud server configuration, by default, the user a has authorization of the resident person list where the user a is located, and when the user a shares the content in the social platform, that is, when the user a does not share the content with a specific person, the monitoring system cloud server does not perform privacy protection processing on the user a and the user C, and at the same time, needs to process the user B, D, E. If the user a shares with the user B, the privacy protection processing is not performed on the user B except the privacy protection processing on the users a and C, and the privacy protection processing is not performed on the users B and D because the shared user B has the privacy protection rights on the users B and D, so that the privacy protection processing is only performed on the user E when the user a shares with the user B.
The shared processing flow is as follows: when the user A wants to share the content, the shared content and a shared object (a to-be-processed person list) are sent to a monitoring system cloud server, the monitoring system cloud server pre-processes the shared content according to the authority of the user A of the sharer, eliminates person lists in the user A and the resident person list on the account of the user A, performs post-processing according to the shared object, wherein the post-processing comprises the sharing object and a specific user, checks the privacy level of the sharing user, judges whether personalized processing operation is needed or not, and then processes the shared content according to the acquired authority of the specific user for the specific user. The method can be further set to perform post-processing according to the user who actually clicks the shared content, for example, when the user A performs sharing, privacy processing is performed only on the person who is not authorized by the user A, and when other users click, the post-processing is performed again according to the obtained authorization of the clicking user.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (10)

1. The intelligent sharing method for the pictures or videos shot by the home cameras is characterized in that an account corresponding to the home monitoring cameras acquires a resident list according to the preset time and the preset space, and the account is bound with the sharing authority of the resident list;
when the account shares the shot content of the home monitoring camera, the shot content is analyzed according to the sharing authority of the account, the first step of personalized processing of the shot content is completed, and the second step of personalized processing is carried out on the shot content according to the sharing authority judgment of the sharing object.
2. The intelligent sharing method for pictures or videos shot by a home camera according to claim 1, wherein the home monitoring camera is connected with a network through a home router, so that the home monitoring camera is connected with a monitoring system cloud server and a smart phone client through the internet, and the smart phone client is connected with the monitoring system cloud server through the internet and performs information interaction.
3. The intelligent sharing method for pictures or videos shot by a home camera according to claim 1, wherein after the home monitoring camera is installed and debugged at a target position, the home monitoring camera is started, and enters a resident personnel acquisition module to acquire data of personnel in a monitoring range, including face feature data acquisition and figure feature data acquisition.
4. The intelligent sharing method for the pictures or videos shot by the home camera according to claim 3, wherein the home monitoring camera is provided with a motion detection module and a human shape detection module, when the home monitoring camera is started, the motion detection module or the human shape detection module is started after being triggered, a corresponding prompt signal is sent, the home monitoring camera performs snapshot, a snapshot picture is obtained and uploaded to a monitoring system cloud server, after the monitoring system cloud server receives the snapshot picture, the human shape in the snapshot picture is scanned and detected, personnel related data are obtained, and a database is independently established.
5. The intelligent sharing method of home camera shooting pictures or videos according to claim 4, wherein in the subsequent snapshot and scanning detection, the comparison is carried out between the home camera shooting pictures or videos and the related data of the person, if the numerical values of the characteristic data are within the precision threshold values, the same person is judged, the snapshot picture and the extracted data are recorded in the same database, and the content of the database is expanded.
6. The intelligent sharing method for capturing images or videos by using a home camera according to claim 4, wherein in a unit time, a home monitoring camera records a trigger time point and duration of motion detection or humanoid detection, assigns a trigger frequency and duration of the time point according to a preset calculated value, calculates a priority of the time point according to a specific gravity, and sets the priority as a snapshot time point of a next unit time.
7. The method for intelligently sharing pictures or videos by using a home camera according to claim 3, wherein the monitoring system cloud server obtains a personnel sorting list by analyzing three pieces of statistical information including the occurrence frequency of personnel, the occurrence time point of the personnel and the occurrence time period of the personnel based on the received monitoring pictures, assigns values to the statistical information of the personnel with data acquired according to a preset specific gravity and calculates the specific gravity to obtain a personnel information sorting list, and forms a resident personnel list by counting the personnel with the specific gravity calculation result meeting a judgment threshold range.
8. The method for intelligently sharing pictures or videos by using home cameras according to claim 1, wherein the monitoring system cloud server performs real-name authentication of accounts for each home monitoring camera, associates a resident list with a corresponding account to form an association relationship among the account, the person and the resident list.
9. The method for intelligently sharing pictures or videos by using a home camera according to claim 1, wherein the account is provided with privacy classes, the privacy classes comprise unprotected classes, only principal classes, only family classes and only authorization classes, and privacy class determination is required for people identified in the content picture when the cloud server of the monitoring system shares the pictures.
10. The method for intelligently sharing pictures or videos by using a home camera according to claim 9, wherein when an account shares content monitored by a home monitoring camera corresponding to the account through a smart phone client, a monitoring system cloud server detects people in the content to be shared to obtain a list of people to be processed, and a monitoring system cloud service detects privacy policies set in the list of people to be processed and performs corresponding processing.
CN202310514180.4A 2023-05-09 2023-05-09 Intelligent sharing method for pictures or videos shot by home cameras Pending CN116668755A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116896482A (en) * 2023-09-08 2023-10-17 联通在线信息科技有限公司 Household camera remote control method and device based on shielding privacy information

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116896482A (en) * 2023-09-08 2023-10-17 联通在线信息科技有限公司 Household camera remote control method and device based on shielding privacy information
CN116896482B (en) * 2023-09-08 2024-02-09 联通在线信息科技有限公司 Household camera remote control method and device based on shielding privacy information

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