WO2019095221A1 - Method for searching for person, apparatus, terminal and cloud server - Google Patents

Method for searching for person, apparatus, terminal and cloud server Download PDF

Info

Publication number
WO2019095221A1
WO2019095221A1 PCT/CN2017/111400 CN2017111400W WO2019095221A1 WO 2019095221 A1 WO2019095221 A1 WO 2019095221A1 CN 2017111400 W CN2017111400 W CN 2017111400W WO 2019095221 A1 WO2019095221 A1 WO 2019095221A1
Authority
WO
WIPO (PCT)
Prior art keywords
person
image
terminal
cloud server
sub
Prior art date
Application number
PCT/CN2017/111400
Other languages
French (fr)
Chinese (zh)
Inventor
骆磊
Original Assignee
深圳前海达闼云端智能科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳前海达闼云端智能科技有限公司 filed Critical 深圳前海达闼云端智能科技有限公司
Priority to CN201780002493.4A priority Critical patent/CN108064388A/en
Priority to PCT/CN2017/111400 priority patent/WO2019095221A1/en
Publication of WO2019095221A1 publication Critical patent/WO2019095221A1/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/30Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification

Definitions

  • the present disclosure relates to the field of communications technologies, and in particular, to a person search method, device, terminal, and cloud server.
  • the present disclosure provides a person search method, device, terminal, and cloud server, which can better search for a person to be sought and improve the efficiency of searching for people.
  • a person search method is provided, which is applied to a terminal, and the method includes:
  • the person corresponding to the sub-image is determined as the person to be sought.
  • a person search method is provided, which is applied to a cloud server, and the method includes:
  • a person search device which is applied to a terminal, the device comprising:
  • the receiving module is configured to receive facial feature information of the person to be sought sent by the cloud server, where the terminal is in a search range corresponding to the person to be sought;
  • a detecting module configured to detect whether an image captured by the terminal includes a sub-image that matches the facial feature information
  • the determining module is configured to determine, when the image captured by the terminal includes the sub-image, the person corresponding to the sub-image as the person to be sought.
  • a person search device which is applied to a cloud server, the device comprising:
  • the receiving module is configured to receive facial feature information and a search range of the person to be sought provided by the information publisher;
  • a determining module configured to determine a plurality of terminals in the search range that assist the tracing function in an open state
  • a sending module configured to separately send the face of the person to be sought to the plurality of terminals Sign the information.
  • a computer program product comprising a computer program executable by a programmable device, the computer program having when executed by the programmable device
  • a non-transitory computer readable storage medium comprising one or more programs for performing The method of any of the first aspect and the second aspect described above.
  • a terminal comprising a non-transitory computer readable storage medium; and one or more processors for executing a program in the non-transitory computer readable storage medium;
  • the non-transitory computer readable storage medium stores instructions for performing the method of the above first aspect of the claims.
  • a server comprising a non-transitory computer readable storage medium; and one or more processors for executing a program in the non-transitory computer readable storage medium;
  • the non-transitory computer readable storage medium stores instructions for performing the method of the second aspect described above.
  • the terminal may receive facial feature information of the person to be sought sent by the cloud server, and the facial feature information of the person to be sought may be published by the tracing person to the cloud server.
  • the terminal may perform face recognition on the captured image, and further detect whether the captured image includes a sub-image that matches the received facial feature information. If it is detected that the image captured by the terminal includes the sub-image, the sub-image may be used.
  • the person corresponding to the image is determined to be the person to be sought. In this way, the efficiency of the character search is improved, new functions are added to the terminal, and the degree of intelligence of the terminal is improved.
  • the terminal information is not leaked.
  • FIG. 1 is a flowchart of a character searching method applied to a terminal according to an exemplary embodiment
  • FIG. 2 is a flowchart of a person search method applied to a cloud server according to an exemplary embodiment
  • FIG. 3 is a block diagram of a person search device according to an exemplary embodiment
  • FIG. 4 is a block diagram of a person search device according to an exemplary embodiment.
  • FIG. 1 is a flowchart of a person searching method applied to a terminal according to an exemplary embodiment. As shown in Figure 1, the method includes the following steps.
  • Step S11 Receive facial feature information of the person to be sought sent by the cloud server.
  • Step S12 It is detected whether the image photographed by the terminal includes a sub image matching the facial feature information.
  • Step S13 When it is detected that the image captured by the terminal includes the sub-image, the person corresponding to the sub-image is determined as the person to be sought.
  • the terminal can be connected to the cloud server through the network, and can communicate with the cloud server.
  • the terminal can be any smart device, such as a smart phone, a PC (Personal Computer), a PAD (Personal Digital Assistant), a smart wearable device, and the like.
  • the terminal capable of receiving the facial feature information for searching for the person pushed by the cloud server may be the terminal registered by the cloud server.
  • the registered terminal allows for some non-perceived extra operations during photo or video recording for public interest purposes or for certain profit or reward, and automatically shares the comparison results and some additional information.
  • the information publisher who needs to perform the person search may publish the facial feature information of the person to be sought to the cloud server, for example, the facial feature information may be directly sent to the cloud server, or the photo of the person to be sought may be sent to the cloud server, and the cloud server Face recognition of photos, extracting facial feature information of the person to be sought, and the like.
  • the information publisher can also publish the search range, that is, the range that the person to be sought may appear, such as a range of areas where the position to be searched for is lost, and the like.
  • the cloud server may send the facial feature information of the person to be sought to the terminal in the search range.
  • the terminal may receive facial feature information of the person to be sought sent by the cloud server.
  • the terminal may simultaneously receive and store facial feature information of the plurality of persons to be sought, and may also have multiple facial feature information for the same person to be sought.
  • the embodiment does not limit this.
  • the image captured by the terminal includes a sub-image that matches the facial feature information, and if so, the person corresponding to the sub-image may be determined as a person to be sought.
  • the image may be an image of a subject person in the image or an image of a background person.
  • detecting whether the image captured by the terminal includes a sub-image that matches the facial feature information may be, when the terminal performs image capturing preview, detecting whether the previewed image includes a sub-image matching the facial feature information; or at the terminal Each time an image is taken, it is detected whether the captured image includes a sub-image matching the facial feature information; and each time the terminal captures a video, detecting whether each frame image included in the captured video includes facial features The sub-image that the information matches.
  • the user of the terminal can still use the terminal to perform photographing or video recording, and then the terminal can perform shooting, and face recognition is directly performed in the preview image. Face recognition can be performed for each frame image included in the image captured by the terminal or the video. The process of face recognition can be completed in the background of the terminal, so that the information publisher can be assisted in the character search without the perception of the end user, and the efficiency of the person search can be improved without affecting the end user.
  • detecting whether the image captured by the terminal includes a sub-image that matches the facial feature information or acquiring all the images captured by the terminal within a preset duration before the time when the facial feature information is received, and then detecting all the images. Whether each image contains a sub-image.
  • the terminal user may also capture the person to be sought in a period of time before receiving the facial feature information of the person to be sought. Therefore, the preset time length before the time when the terminal receives the facial feature information may be set (for example, set to 30 minutes). , 20 minutes, etc.) all the images captured in the face are recognized, and it is detected whether or not the person to be found is photographed. Of course, it is also possible to detect all of the preset time lengths before the time when the terminal receives the facial feature information. Whether each frame image included in the video is photographed by the person to be sought.
  • the location range of the terminal when the terminal captures the target image including the sub image may be sent to the cloud server. Passing the cloud server to notify the information publisher of the facial feature information of the person to be sought; and/or transmitting the contact information of the user of the terminal to the cloud server to notify the information publisher of the user of the terminal through the cloud server; and/or according to The received contact information of the information publisher sent by the cloud server outputs a prompt message to prompt the user of the terminal to notify the information publisher.
  • the terminal may notify the cloud server, and the cloud server may notify the information publisher, or the user of the terminal may actively contact the information publisher according to the contact information of the information publisher sent by the cloud server. ,and many more. In this way, the search result of the person to be sought can be notified to the information publisher more conveniently and quickly.
  • the terminal user notifies the cloud server, or the contact information publisher can mark the character search work as completed, and the terminal can delete the information stored in the character search work (such as the facial features of the person to be sought). Information, search scope, contact information, etc.).
  • the information publisher may notify the cloud server to mark the character search work as completed after contacting the terminal user or the person to be found, and then the cloud server may send an instruction to the terminal that receives the search task, and delete the command. Corresponding information.
  • the terminal may receive the facial feature information of the to-be-searched person sent by the cloud server, and the identity information of the to-be-searched person, so that the user of the terminal confirms the identity of the person, where
  • the identity information includes at least one of a name, a gender, an age, an identity card number, and a cell phone number.
  • the information that the cloud server pushes to the terminal in the search range is not limited to the facial feature information of the person to be sought, and may also include other identity information, so that the terminal user can directly treat the person looking for the identity when searching for the person to be found. Further confirmation, the information publisher can be notified after confirmation, and the accuracy of the person search is improved.
  • the opening operation before receiving the facial feature information of the to-be-searched person sent by the cloud server, the opening operation may also be acquired, and then according to the opening operation, the assisting tracing function is turned on to receive the information for searching for the person sent by the cloud server.
  • the user of the terminal can set the assisted tracing function to be turned off and not notified at any time point, and the notification is allowed to be turned on, always on, etc. when requested.
  • the notification is allowed when the request is enabled, the cloud server will prompt the terminal when the search range includes the location of the terminal.
  • the search range includes the location of the terminal.
  • the feature information is pushed to the terminal, and the notification to the user depends on the specific implementation, which is not limited herein. That is, the user can select whether to enable the help finding function, and only when the user selects the function of assisting the search, the terminal performs the above-mentioned person search method, and then receives the facial feature information of the person to be sought pushed by the cloud server.
  • the user's operability is strong.
  • the information publisher can use the cloud server to issue a reward to encourage the terminal to use the help-seeking function, which is not limited in the embodiment of the present disclosure.
  • FIG. 2 is a flowchart of a character searching method applied to a cloud server according to an exemplary embodiment. As shown in FIG. 2, the method includes the following steps.
  • Step S21 Receive facial feature information and a search range of the person to be sought provided by the information publisher.
  • Step S22 determining a plurality of terminals in the search range that assist the tracing function is in an open state.
  • Step S23 Send facial feature information of the person to be sought to the plurality of terminals respectively.
  • the information publisher can publish the facial feature information and the search range of the person to be sought to the cloud server, and then the cloud server pushes the facial feature information of the person to be sought to the terminal in the search range, and then passes the search range.
  • the terminal assists in finding the person to be sought. In this way, the efficiency of the character search can be improved.
  • the terminal may also send the captured image or video to the cloud server, and the cloud server completes the facial recognition.
  • the step of detecting a sub-image that matches the facial feature information of the person to be sought is not limited in this embodiment of the present disclosure.
  • FIG. 3 is a block diagram of a person search device 300 according to an exemplary embodiment, where the device 300 can be applied. Terminal, the device 300 can include:
  • the receiving module 301 is configured to receive facial feature information of the person to be sought sent by the cloud server, where the terminal is in a search range corresponding to the person to be sought;
  • the detecting module 302 is configured to detect whether an image captured by the terminal includes a sub-image that matches the facial feature information
  • the determining module 303 is configured to determine, when the image captured by the terminal includes the sub-image, the person corresponding to the sub-image as the person to be sought.
  • the detecting module 302 includes at least one of the following submodules:
  • a first detecting submodule configured to detect whether the previewed image includes the sub image when the terminal performs an image capturing preview
  • a second detecting submodule configured to detect, when the terminal captures an image, whether the captured image includes a sub image that matches the facial feature information
  • the third detecting submodule is configured to detect, when the terminal captures a video, whether each frame image included in the captured video includes the sub image.
  • the detecting module 302 includes:
  • Obtaining a sub-module configured to acquire all images captured by the terminal within a preset duration before the moment when the facial feature information is received;
  • a fourth detection sub-module configured to detect whether each of the images includes the sub-image.
  • the apparatus 300 further includes at least one of the following modules:
  • a first sending module configured to determine a person corresponding to the sub image as the to-be-find And sending, by the cloud server, the location range of the terminal when the terminal captures the target image including the sub-image, to notify the publishing of the facial feature information of the person to be sought by the cloud server Information publisher
  • a second sending module configured to: after the person corresponding to the sub-image is determined to be the person to be sought, send the contact information of the user of the terminal to the cloud server, to notify the cloud server by using the cloud server The information publisher contacts the user of the terminal;
  • a third sending module configured to output prompt information according to the contact information of the information publisher sent by the cloud server after determining the person corresponding to the sub image as the to-be-find person, to prompt The user of the terminal notifies the information publisher.
  • the receiving module 301 includes:
  • the receiving submodule is configured to receive the facial feature information of the to-be-find person sent by the cloud server, and the identity information of the to-be-searched person, so that the user of the terminal confirms the identity of the person, wherein
  • the identity information includes at least one of a name, a gender, an age, an ID number, and a mobile phone number.
  • the device 300 further includes:
  • the obtaining module is configured to obtain an open operation
  • the opening module is configured to, according to the opening operation, enable an assisting tracing function to receive information sent by the cloud server for tracing.
  • FIG. 4 is a block diagram of a person search device 400 according to an exemplary embodiment, where the device 400 can be applied.
  • the cloud server, the device 400 can include:
  • the receiving module 401 is configured to receive facial feature information and a search range of the person to be sought provided by the information publisher;
  • the determining module 402 is configured to determine, in the search range, a plurality of terminals that assist the tracing function in an open state;
  • the sending module 403 is configured to separately send facial feature information of the to-be-find person to the plurality of terminals.
  • a computer program product comprising a computer program executable by a programmable device, the computer program having when executed by the programmable device A portion of the code used to perform the character search method described above.
  • non-transitory computer readable storage medium comprising instructions, the non-transitory computer readable storage medium comprising one or more programs, the one or more The program is used to execute the character search method described above.
  • a terminal comprising: a non-transitory computer readable storage medium; and one or more processors for executing in the non-transitory computer readable storage medium a program; the non-transitory computer readable storage medium storing instructions for executing the above-described character search method applied to the terminal.
  • a cloud server comprising: a non-transitory computer readable storage medium; and one or more processors for executing in the non-transitory computer readable storage medium
  • a program for executing the above-described character search method applied to the cloud server is stored in the non-transitory computer readable storage medium.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the modules or units is only a logical function division.
  • there may be another division manner for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.
  • the functional modules in various embodiments of the present application may be integrated into one processing unit, It may be that each module exists physically separately, or two or more modules may be integrated in one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • a computer readable storage medium A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a ROM (Read-Only Memory), a RAM (Random Access Memory), a disk or an optical disk, and the like, which can store program codes. .

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present disclosure relates to a method for searching for a person, an apparatus, a terminal, and a cloud server, which may better search for people to be found, increasing the efficiency of searching for people. The method comprises: receiving facial feature information of a person to be found that is sent by a cloud server, a terminal being located within a search range corresponding to the person to be found; detecting whether an image captured by the terminal contains a sub-image matching the facial feature information; when detected that the image captured by the terminal contains the sub-image, determining a person corresponding to the sub-image to be the person to be found.

Description

人物搜寻方法、装置、终端及云端服务器Character search method, device, terminal and cloud server 技术领域Technical field
本公开涉及通信技术领域,具体涉及一种人物搜寻方法、装置、终端及云端服务器。The present disclosure relates to the field of communications technologies, and in particular, to a person search method, device, terminal, and cloud server.
背景技术Background technique
在一个场景中,景区、车站、机场或者其他公共区域,经常会出现找不到同行伙伴、找不到家人孩子等情况。另一个场景中,公安局需要在全国范围内搜寻嫌犯,搜寻走失儿童走失老人。In a scene, in a scenic spot, a station, an airport, or other public areas, it is often the case that no peers can be found, family members can be found, and so on. In another scenario, the Public Security Bureau needs to search for suspects nationwide and search for lost elderly children.
针对上述第一个场景,人们首先要能找到工作人员,然后让工作人员在整个区域内广播,如果被找寻者听到了广播,则需要前往广播中提到的位置与搜寻人会合,然而走失者往往是老人和儿童等等自身能力较弱人员,所以找人的困难较大。再或者就是有人听到广播并且恰好发现了被找寻者,那发现者可能会联系工作人员,此方式比较被动,且效率较低。In response to the first scenario above, people must first find the staff and then let the staff broadcast throughout the area. If the searcher hears the broadcast, they need to go to the location mentioned in the broadcast to meet the searcher, but the loser It is often the elderly and children and other people with weaker abilities, so it is more difficult to find someone. Or if someone hears the broadcast and happens to find the person being searched, the discoverer may contact the staff, which is more passive and less efficient.
针对上述第二个场景,通常是通过城市的视频监控,或者有人恰好看到了通缉令或寻人启事,并且又恰好看到了被搜寻的人,则可能会提供线索给公安部门,这样的寻人方式效率较低。For the second scenario mentioned above, usually through video surveillance in the city, or someone happens to see the wanted or tracing notice, and just happens to see the person being searched, it may provide clues to the public security department, such a tracing The method is less efficient.
发明内容Summary of the invention
为克服相关技术中存在的问题,本公开提供一种人物搜寻方法、装置、终端及云端服务器,能够较好地搜寻待找寻人员,提高寻人的效率。In order to overcome the problems in the related art, the present disclosure provides a person search method, device, terminal, and cloud server, which can better search for a person to be sought and improve the efficiency of searching for people.
根据本公开实施例的第一方面,提供一种人物搜寻方法,应用于终端,所述方法包括:According to a first aspect of the embodiments of the present disclosure, a person search method is provided, which is applied to a terminal, and the method includes:
接收云端服务器发送的待找寻人员的面部特征信息,其中,所述终端处 于所述待找寻人员对应的搜寻范围内;Receiving facial feature information of the person to be sought sent by the cloud server, where the terminal is located Within the search range corresponding to the person to be sought;
检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像;Detecting whether an image captured by the terminal includes a sub-image that matches the facial feature information;
在检测到通过所述终端拍摄的图像包含所述子图像时,将所述子图像对应的人员确定为所述待找寻人员。When it is detected that the image captured by the terminal includes the sub-image, the person corresponding to the sub-image is determined as the person to be sought.
根据本公开实施例的第二方面,提供一种人物搜寻方法,应用于云端服务器,所述方法包括:According to a second aspect of the embodiments of the present disclosure, a person search method is provided, which is applied to a cloud server, and the method includes:
接收信息发布者提供的待找寻人员的面部特征信息及搜寻范围;Receiving facial feature information and search range of the person to be sought provided by the information publisher;
确定所述搜寻范围内,协助寻人功能处于开启状态的多个终端;Determining a plurality of terminals in the search range that assist the tracing function in an open state;
分别向所述多个终端发送所述待找寻人员的面部特征信息。Sending facial feature information of the person to be sought to the plurality of terminals respectively.
根据本公开实施例的第三方面,提供一种人物搜寻装置,应用于终端,所述装置包括:According to a third aspect of the embodiments of the present disclosure, there is provided a person search device, which is applied to a terminal, the device comprising:
接收模块,被配置为接收云端服务器发送的待找寻人员的面部特征信息,其中,所述终端处于所述待找寻人员对应的搜寻范围内;The receiving module is configured to receive facial feature information of the person to be sought sent by the cloud server, where the terminal is in a search range corresponding to the person to be sought;
检测模块,被配置为检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像;a detecting module configured to detect whether an image captured by the terminal includes a sub-image that matches the facial feature information;
确定模块,被配置为在检测到通过所述终端拍摄的图像包含所述子图像时,将所述子图像对应的人员确定为所述待找寻人员。The determining module is configured to determine, when the image captured by the terminal includes the sub-image, the person corresponding to the sub-image as the person to be sought.
根据本公开实施例的第四方面,提供一种人物搜寻装置,应用于云端服务器,所述装置包括:According to a fourth aspect of the embodiments of the present disclosure, there is provided a person search device, which is applied to a cloud server, the device comprising:
接收模块,被配置为接收信息发布者提供的待找寻人员的面部特征信息及搜寻范围;The receiving module is configured to receive facial feature information and a search range of the person to be sought provided by the information publisher;
确定模块,被配置为确定所述搜寻范围内,协助寻人功能处于开启状态的多个终端;a determining module configured to determine a plurality of terminals in the search range that assist the tracing function in an open state;
发送模块,被配置为分别向所述多个终端发送所述待找寻人员的面部特 征信息。a sending module, configured to separately send the face of the person to be sought to the plurality of terminals Sign the information.
根据本公开实施例的第五方面,提供一种计算机程序产品,所述计算机程序产品包含能够由可编程的装置执行的计算机程序,所述计算机程序具有当由所述可编程的装置执行时用于执行上述第一方面和第二方面中任一项所述的方法的代码部分。According to a fifth aspect of an embodiment of the present disclosure, there is provided a computer program product comprising a computer program executable by a programmable device, the computer program having when executed by the programmable device The code portion of the method of any of the first and second aspects described above.
根据本公开实施例的第六方面,提供一种非临时性计算机可读存储介质,所述非临时性计算机可读存储介质中包括一个或多个程序,所述一个或多个程序用于执行上述第一方面和第二方面中任一项所述的方法。According to a sixth aspect of the embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium comprising one or more programs for performing The method of any of the first aspect and the second aspect described above.
根据本公开实施例的第七方面,提供一种终端,包括非临时性计算机可读存储介质;以及一个或者多个处理器,用于执行所述非临时性计算机可读存储介质中的程序;所述非临时性计算机可读存储介质中存储有用于执行如权利要求上述第一方面所述的方法的指令。According to a seventh aspect of the embodiments of the present disclosure, there is provided a terminal comprising a non-transitory computer readable storage medium; and one or more processors for executing a program in the non-transitory computer readable storage medium; The non-transitory computer readable storage medium stores instructions for performing the method of the above first aspect of the claims.
根据本公开实施例的第八方面,提供一种服务器包括非临时性计算机可读存储介质;以及一个或者多个处理器,用于执行所述非临时性计算机可读存储介质中的程序;所述非临时性计算机可读存储介质中存储有用于执行上述第二方面所述的方法的指令。According to an eighth aspect of the embodiments of the present disclosure, there is provided a server comprising a non-transitory computer readable storage medium; and one or more processors for executing a program in the non-transitory computer readable storage medium; The non-transitory computer readable storage medium stores instructions for performing the method of the second aspect described above.
本公开的实施例提供的技术方案可以包括以下有益效果:The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:
本公开实施例中,终端可以接收云端服务器发送的待找寻人员的面部特征信息,待找寻人员的面部特征信息可以是由寻人者发布到云端服务器的。终端可以对拍摄的图像进行人脸识别,进而检测拍摄的图像是否包含有与接收到的面部特征信息相匹配的子图像,如果检测到终端拍摄的图像包含有该子图像,则可以将该子图像对应的人员确定为待找寻人员。通过这样的方式,提升了人物搜寻的效率,为终端添加了新的功能,提升了终端的智能化程度,同时,由于人脸比对过程在终端完成,不会造成终端信息的泄露。 In the embodiment of the present disclosure, the terminal may receive facial feature information of the person to be sought sent by the cloud server, and the facial feature information of the person to be sought may be published by the tracing person to the cloud server. The terminal may perform face recognition on the captured image, and further detect whether the captured image includes a sub-image that matches the received facial feature information. If it is detected that the image captured by the terminal includes the sub-image, the sub-image may be used. The person corresponding to the image is determined to be the person to be sought. In this way, the efficiency of the character search is improved, new functions are added to the terminal, and the degree of intelligence of the terminal is improved. At the same time, since the face matching process is completed at the terminal, the terminal information is not leaked.
附图说明DRAWINGS
附图是用来提供对本公开的进一步理解,并且构成说明书的一部分,与下面的具体实施方式一起用于解释本公开,但并不构成对本公开的限制。在附图中:The drawings are intended to provide a further understanding of the disclosure, and are in the In the drawing:
图1是根据一示例性实施例示出的一种应用于终端的人物搜寻方法的流程图;FIG. 1 is a flowchart of a character searching method applied to a terminal according to an exemplary embodiment;
图2是根据一示例性实施例示出的一种应用于云端服务器的人物搜寻方法的流程图;FIG. 2 is a flowchart of a person search method applied to a cloud server according to an exemplary embodiment;
图3是根据一示例性实施例示出的一种人物搜寻装置的框图;FIG. 3 is a block diagram of a person search device according to an exemplary embodiment;
图4是根据一示例性实施例示出的一种人物搜寻装置的框图。FIG. 4 is a block diagram of a person search device according to an exemplary embodiment.
具体实施方式Detailed ways
以下结合附图对本公开的具体实施方式进行详细说明。应当理解的是,此处所描述的具体实施方式仅用于说明和解释本公开,并不用于限制本公开。The specific embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are not to be construed
另外,本文中术语“和/或”,仅仅是一种描述关联对象的关联关系,表示可以存在三种关系,例如,A和/或B,可以表示:单独存在A,同时存在A和B,单独存在B这三种情况。In addition, the term "and/or" herein is merely an association relationship describing an associated object, indicating that there may be three relationships, for example, A and/or B, which may indicate that A exists separately, and A and B exist at the same time. There are three cases of B alone.
请参考图1,图1是根据一示例性实施例示出的一种应用于终端的人物搜寻方法的流程图。如图1所示,该方法包括以下步骤。Please refer to FIG. 1. FIG. 1 is a flowchart of a person searching method applied to a terminal according to an exemplary embodiment. As shown in Figure 1, the method includes the following steps.
步骤S11:接收云端服务器发送的待找寻人员的面部特征信息。Step S11: Receive facial feature information of the person to be sought sent by the cloud server.
步骤S12:检测通过终端拍摄的图像是否包含与面部特征信息匹配的子图像。Step S12: It is detected whether the image photographed by the terminal includes a sub image matching the facial feature information.
步骤S13:在检测到通过终端拍摄的图像包含子图像时,将子图像对应的人员确定为待找寻人员。 Step S13: When it is detected that the image captured by the terminal includes the sub-image, the person corresponding to the sub-image is determined as the person to be sought.
本公开实施例中,终端可以通过网络与云端服务器连接,能够与云端服务器进行通讯。终端可以是任意的智能设备,例如,智能手机、PC(Personal Computer,个人计算机)、PAD(Personal Digital Assistant,平板电脑)、智能穿戴设备,等等。In the embodiment of the present disclosure, the terminal can be connected to the cloud server through the network, and can communicate with the cloud server. The terminal can be any smart device, such as a smart phone, a PC (Personal Computer), a PAD (Personal Digital Assistant), a smart wearable device, and the like.
本公开实施例中,能够接收云端服务器推送的用于寻人的面部特征信息的终端可以是在云端服务器进行注册的终端。注册后的终端出于公益目的或者有一定获利或奖赏的情况,允许在拍照或录像时进行一些无感知的额外运算,并自动共享比对结果和某些额外信息。In the embodiment of the present disclosure, the terminal capable of receiving the facial feature information for searching for the person pushed by the cloud server may be the terminal registered by the cloud server. The registered terminal allows for some non-perceived extra operations during photo or video recording for public interest purposes or for certain profit or reward, and automatically shares the comparison results and some additional information.
需要进行人物搜寻的信息发布者可以将待找寻人员的面部特征信息发布到云端服务器,比如可以直接将面部特征信息发送给云端服务器,或者也可以发送待找寻人员的照片给云端服务器,由云端服务器对照片进行人脸识别,提取出待找寻人员的面部特征信息,等等。The information publisher who needs to perform the person search may publish the facial feature information of the person to be sought to the cloud server, for example, the facial feature information may be directly sent to the cloud server, or the photo of the person to be sought may be sent to the cloud server, and the cloud server Face recognition of photos, extracting facial feature information of the person to be sought, and the like.
信息发布者在云端服务器发布待找寻人员的面部特征信息时,还可以发布搜寻范围,也就是待找寻人员可能出现的范围,比如待找寻人员走丢的位置所在的一个区域范围,等等。云端服务器在接收到信息发布者发布的待找寻人员的面部特征信息和搜寻范围后,可以给该搜寻范围内的终端发送待找寻人员的面部特征信息。当然,还可以发布一些其他的待找寻人员的信息,比如性别、年龄、姓名、电话,等等。When the information publisher publishes the facial feature information of the person to be sought, the information publisher can also publish the search range, that is, the range that the person to be sought may appear, such as a range of areas where the position to be searched for is lost, and the like. After receiving the facial feature information and the search range of the person to be sought published by the information publisher, the cloud server may send the facial feature information of the person to be sought to the terminal in the search range. Of course, you can also post some other information about the person to be found, such as gender, age, name, phone number, and so on.
终端可以接收云端服务器发送的待找寻人员的面部特征信息,当然,终端可以同时接收并存储多个待找寻人员的面部特征信息,对于同一个待找寻人员也可以有多个面部特征信息,本公开实施例对此不作限定。The terminal may receive facial feature information of the person to be sought sent by the cloud server. Of course, the terminal may simultaneously receive and store facial feature information of the plurality of persons to be sought, and may also have multiple facial feature information for the same person to be sought. The embodiment does not limit this.
对于接收到面部特征信息的任一个终端,可以检测通过终端拍摄的图像里有没有包含该面部特征信息匹配的子图像,如果有,则可以将该子图像对应的人员确定为待找寻人员,子图像可以是图像中的主体人物的图像,也可以是背景人物的图像。通过这样的由搜寻范围内各终端共同协助寻人的方 式,可以提升人物搜寻的效率,且终端的检测过程可以是在用户允许的情况下在后台运行的,对于用户而言可以是无感知的,不会给用户造成影响。For any terminal that receives the facial feature information, it may be detected whether the image captured by the terminal includes a sub-image that matches the facial feature information, and if so, the person corresponding to the sub-image may be determined as a person to be sought. The image may be an image of a subject person in the image or an image of a background person. Through such a party that assists in finding people by the terminals in the search range The method can improve the efficiency of the character search, and the detection process of the terminal can be run in the background if the user allows, and can be non-perceived to the user and does not affect the user.
可选的,检测通过终端拍摄的图像是否包含与面部特征信息匹配的子图像,可以是在终端进行图像拍摄预览时,检测预览的图像是否包含与面部特征信息匹配的子图像;或者是在终端每拍摄一张图像时,检测拍摄的图像是否包含与面部特征信息相匹配的子图像;还可以是在终端每拍摄一段视频时,检测拍摄的视频所包括的每一帧图像是否包含与面部特征信息匹配的子图像。Optionally, detecting whether the image captured by the terminal includes a sub-image that matches the facial feature information, may be, when the terminal performs image capturing preview, detecting whether the previewed image includes a sub-image matching the facial feature information; or at the terminal Each time an image is taken, it is detected whether the captured image includes a sub-image matching the facial feature information; and each time the terminal captures a video, detecting whether each frame image included in the captured video includes facial features The sub-image that the information matches.
即,终端在收到云端服务器发送的待找寻人员的面部特征信息后,终端的用户可以仍然正常使用终端进行拍照或录像,那么可以在终端进行拍摄,直接在预览图像中进行人脸识别,也可以针对终端拍摄完成的图像或者视频包括的每一帧图像进行人脸识别。人脸识别的过程均可以在终端的后台完成,这样,可以在终端用户无感知的情况下,协助信息发布者进行人物搜寻,在提升人物搜寻效率的同时也不会对终端用户造成影响。That is, after the terminal receives the facial feature information of the person to be sought sent by the cloud server, the user of the terminal can still use the terminal to perform photographing or video recording, and then the terminal can perform shooting, and face recognition is directly performed in the preview image. Face recognition can be performed for each frame image included in the image captured by the terminal or the video. The process of face recognition can be completed in the background of the terminal, so that the information publisher can be assisted in the character search without the perception of the end user, and the efficiency of the person search can be improved without affecting the end user.
可选的,检测通过终端拍摄的图像是否包含与面部特征信息匹配的子图像,也可以先获取终端在接收到面部特征信息的时刻前的预设时长内拍摄的全部图像,再检测全部图像中的每一张图像是否包含子图像。Optionally, detecting whether the image captured by the terminal includes a sub-image that matches the facial feature information, or acquiring all the images captured by the terminal within a preset duration before the time when the facial feature information is received, and then detecting all the images. Whether each image contains a sub-image.
终端用户在接收到待找寻人员的面部特征信息之前的一段时间内也可能拍到了待找寻人员,因此,可以对终端在接收到面部特征信息的时刻前的预设时长(比如设定为30分钟、20分钟,等等)内拍摄的全部图像进行人脸识别,检测是否有拍到待找寻人员,当然,也可以检测终端在接收到面部特征信息的时刻前的预设时长内拍摄到的全部视频包括的每一帧图像是否有拍到待找寻人员。The terminal user may also capture the person to be sought in a period of time before receiving the facial feature information of the person to be sought. Therefore, the preset time length before the time when the terminal receives the facial feature information may be set (for example, set to 30 minutes). , 20 minutes, etc.) all the images captured in the face are recognized, and it is detected whether or not the person to be found is photographed. Of course, it is also possible to detect all of the preset time lengths before the time when the terminal receives the facial feature information. Whether each frame image included in the video is photographed by the person to be sought.
可选的,在将子图像对应的人员确定为待找寻人员之后,还可以向云端服务器发送终端拍摄包含子图像的目标图像时,终端所处的位置范围,以通 过云端服务器通知发布待找寻人员的面部特征信息的信息发布者;和/或,向云端服务器发送终端的用户的联系信息,以通过云端服务器通知信息发布者联系终端的用户;和/或,根据接收的云端服务器发送的信息发布者的联系信息,输出提示信息,以提示终端的用户通知信息发布者。Optionally, after the person corresponding to the sub image is determined as the person to be sought, the location range of the terminal when the terminal captures the target image including the sub image may be sent to the cloud server. Passing the cloud server to notify the information publisher of the facial feature information of the person to be sought; and/or transmitting the contact information of the user of the terminal to the cloud server to notify the information publisher of the user of the terminal through the cloud server; and/or according to The received contact information of the information publisher sent by the cloud server outputs a prompt message to prompt the user of the terminal to notify the information publisher.
也就是说,终端在确定待找寻人员后,可以通知云端服务器,由云端服务器来通知信息发布者,也可以由终端的用户根据云端服务器发过来的信息发布者的联系方式来主动联系信息发布者,等等。通过这样的方式,可以较为方便快捷地将待找寻人员的搜寻结果告知信息发布者。That is to say, after determining the person to be found, the terminal may notify the cloud server, and the cloud server may notify the information publisher, or the user of the terminal may actively contact the information publisher according to the contact information of the information publisher sent by the cloud server. ,and many more. In this way, the search result of the person to be sought can be notified to the information publisher more conveniently and quickly.
本公开实施例中,终端用户通知云端服务器,或者联系信息发布者后可以将本次人物搜寻工作标记为已完成,终端可以删除本次人物搜寻工作所存储的信息(比如待找寻人员的面部特征信息、搜寻范围、联系信息等)。或者,信息发布者在联系终端用户或找到待找寻人员后也可以通知云端服务器将本次人物搜寻工作标记为已完成,那么可以由云端服务器给接收到本次搜寻任务的终端下发指令,删除相应的信息。In the embodiment of the present disclosure, the terminal user notifies the cloud server, or the contact information publisher can mark the character search work as completed, and the terminal can delete the information stored in the character search work (such as the facial features of the person to be sought). Information, search scope, contact information, etc.). Alternatively, the information publisher may notify the cloud server to mark the character search work as completed after contacting the terminal user or the person to be found, and then the cloud server may send an instruction to the terminal that receives the search task, and delete the command. Corresponding information.
可选的,终端可以接收所述云端服务器发送的所述待找寻人员的面部特征信息,及所述待找寻人员的身份信息,以使所述终端的用户对所述人员进行身份确认,其中,所述身份信息包括姓名、性别、年龄、身份证号、手机号中的至少一者。Optionally, the terminal may receive the facial feature information of the to-be-searched person sent by the cloud server, and the identity information of the to-be-searched person, so that the user of the terminal confirms the identity of the person, where The identity information includes at least one of a name, a gender, an age, an identity card number, and a cell phone number.
云端服务器给搜寻范围内的终端推送的信息不限于待找寻人员的面部特征信息,还可以包括其他的一些身份信息,以便于终端在搜寻到待找寻人员时,终端用户可以直接对待找寻人员进行身份的进一步确认,可以在确认后再通知信息发布者,提高了人物搜寻的准确率。The information that the cloud server pushes to the terminal in the search range is not limited to the facial feature information of the person to be sought, and may also include other identity information, so that the terminal user can directly treat the person looking for the identity when searching for the person to be found. Further confirmation, the information publisher can be notified after confirmation, and the accuracy of the person search is improved.
可选的,在接收云端服务器发送的待找寻人员的面部特征信息之前,还可以获取开启操作,然后根据开启操作,开启协助寻人功能,以接收云端服务器发送的用于寻人的信息。 Optionally, before receiving the facial feature information of the to-be-searched person sent by the cloud server, the opening operation may also be acquired, and then according to the opening operation, the assisting tracing function is turned on to receive the information for searching for the person sent by the cloud server.
本公开实施例中,对于终端而言,终端的用户可以在任何时间点将此协助寻人功能置为关闭且不通知、有请求时通知被允许后开启、一直开启等方式。对于关闭且不通知设置,则相当于该终端忽略所有寻人请求,和未注册终端无异;对于有请求时通知被允许后开启,云端服务器在搜寻范围包含该终端的位置时,将提示终端有新的被搜寻人、当前可能的范围、及是否开启拍照寻人功能,用户可以根据其当前情况可以接受或者拒绝;对于一直开启的方式,云端服务器有请求后则直接将被找寻人员的面部特征信息推送给终端,通知用户与否取决于具体实现,此处不做限定。即,用户可以自行选择是否要开启协助寻人功能,只有在用户选择开启协助寻人的功能时,终端才会执行上述的人物搜寻方法,进而接收云端服务器推送的待找寻人员的面部特征信息,用户的可操作性较强。在实际应用中,信息发布者可以通过云端服务器发布奖赏来鼓励终端用于开启协助寻人功能,本公开实施例对此不作限定。In the embodiment of the present disclosure, for the terminal, the user of the terminal can set the assisted tracing function to be turned off and not notified at any time point, and the notification is allowed to be turned on, always on, etc. when requested. For the shutdown and not to notify the setting, it is equivalent to the terminal ignoring all the tracing requests, which is the same as the unregistered terminal; if the notification is allowed when the request is enabled, the cloud server will prompt the terminal when the search range includes the location of the terminal. There are new searched people, the current possible range, and whether to enable the photo-seeking function, the user can accept or reject according to their current situation; for the way that the cloud server is always open, the cloud server will directly find the person's face after requesting. The feature information is pushed to the terminal, and the notification to the user depends on the specific implementation, which is not limited herein. That is, the user can select whether to enable the help finding function, and only when the user selects the function of assisting the search, the terminal performs the above-mentioned person search method, and then receives the facial feature information of the person to be sought pushed by the cloud server. The user's operability is strong. In an actual application, the information publisher can use the cloud server to issue a reward to encourage the terminal to use the help-seeking function, which is not limited in the embodiment of the present disclosure.
请参考图2,图2是根据一示例性实施例示出的一种应用于云端服务器的人物搜寻方法的流程图。如图2所示,该方法包括以下步骤。Please refer to FIG. 2. FIG. 2 is a flowchart of a character searching method applied to a cloud server according to an exemplary embodiment. As shown in FIG. 2, the method includes the following steps.
步骤S21:接收信息发布者提供的待找寻人员的面部特征信息及搜寻范围。Step S21: Receive facial feature information and a search range of the person to be sought provided by the information publisher.
步骤S22:确定搜寻范围内,协助寻人功能处于开启状态的多个终端。Step S22: determining a plurality of terminals in the search range that assist the tracing function is in an open state.
步骤S23:分别向多个终端发送待找寻人员的面部特征信息。Step S23: Send facial feature information of the person to be sought to the plurality of terminals respectively.
也即是说,信息发布者可以将待找寻人员的面部特征信息及搜寻范围发布到云端服务器,然后云端服务器向该搜寻范围内的终端推送待找寻人员的面部特征信息,进而通过搜寻范围内的终端协助寻找待找寻人员。通过这样的方式,可以提升了人物搜寻的效率。That is to say, the information publisher can publish the facial feature information and the search range of the person to be sought to the cloud server, and then the cloud server pushes the facial feature information of the person to be sought to the terminal in the search range, and then passes the search range. The terminal assists in finding the person to be sought. In this way, the efficiency of the character search can be improved.
当然,本公开实施例中,终端在收到待找寻人员的面部特征信息后,也可以将拍摄到的图像或视频发送给云端服务器,由云端服务器来完成人脸识 别及检测与待找寻人员的面部特征信息匹配的子图像的步骤,本公开实施例对此不作限定。Certainly, in the embodiment of the present disclosure, after receiving the facial feature information of the person to be sought, the terminal may also send the captured image or video to the cloud server, and the cloud server completes the facial recognition. The step of detecting a sub-image that matches the facial feature information of the person to be sought is not limited in this embodiment of the present disclosure.
基于同一发明构思,本公开实施例提供一种人物搜寻装置,如图3所示,图3是根据一示例性实施例示出的一种人物搜寻装置300的框图,其中,该装置300可以应用于终端,该装置300可以包括:Based on the same inventive concept, an embodiment of the present disclosure provides a person search device. As shown in FIG. 3, FIG. 3 is a block diagram of a person search device 300 according to an exemplary embodiment, where the device 300 can be applied. Terminal, the device 300 can include:
接收模块301,被配置为接收云端服务器发送的待找寻人员的面部特征信息,其中,所述终端处于所述待找寻人员对应的搜寻范围内;The receiving module 301 is configured to receive facial feature information of the person to be sought sent by the cloud server, where the terminal is in a search range corresponding to the person to be sought;
检测模块302,被配置为检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像;The detecting module 302 is configured to detect whether an image captured by the terminal includes a sub-image that matches the facial feature information;
确定模块303,被配置为在检测到通过所述终端拍摄的图像包含所述子图像时,将所述子图像对应的人员确定为所述待找寻人员。The determining module 303 is configured to determine, when the image captured by the terminal includes the sub-image, the person corresponding to the sub-image as the person to be sought.
可选的,所述检测模块302包括以下子模块中的至少一者:Optionally, the detecting module 302 includes at least one of the following submodules:
第一检测子模块,被配置为在所述终端进行图像拍摄预览时,检测预览的图像是否包含所述子图像;a first detecting submodule configured to detect whether the previewed image includes the sub image when the terminal performs an image capturing preview;
第二检测子模块,被配置为在所述终端每拍摄一张图像时,检测拍摄的图像是否包含与所述面部特征信息相匹配的子图像;a second detecting submodule configured to detect, when the terminal captures an image, whether the captured image includes a sub image that matches the facial feature information;
第三检测子模块,被配置为在所述终端每拍摄一段视频时,检测拍摄的视频所包括的每一帧图像是否包含所述子图像。The third detecting submodule is configured to detect, when the terminal captures a video, whether each frame image included in the captured video includes the sub image.
可选的,所述检测模块302包括:Optionally, the detecting module 302 includes:
获取子模块,被配置为获取所述终端在接收到所述面部特征信息的时刻前的预设时长内拍摄的全部图像;Obtaining a sub-module configured to acquire all images captured by the terminal within a preset duration before the moment when the facial feature information is received;
第四检测子模块,被配置为检测所述全部图像中的每一张图像是否包含所述子图像。A fourth detection sub-module configured to detect whether each of the images includes the sub-image.
可选的,所述装置300还包括以下模块中的至少一者:Optionally, the apparatus 300 further includes at least one of the following modules:
第一发送模块,被配置为在将所述子图像对应的人员确定为所述待找寻 人员之后,向所述云端服务器发送所述终端拍摄包含所述子图像的目标图像时,所述终端所处的位置范围,以通过所述云端服务器通知发布所述待找寻人员的面部特征信息的信息发布者;a first sending module configured to determine a person corresponding to the sub image as the to-be-find And sending, by the cloud server, the location range of the terminal when the terminal captures the target image including the sub-image, to notify the publishing of the facial feature information of the person to be sought by the cloud server Information publisher
第二发送模块,被配置为在将所述子图像对应的人员确定为所述待找寻人员之后,向所述云端服务器发送所述终端的用户的联系信息,以通过所述云端服务器通知所述信息发布者联系所述终端的用户;a second sending module, configured to: after the person corresponding to the sub-image is determined to be the person to be sought, send the contact information of the user of the terminal to the cloud server, to notify the cloud server by using the cloud server The information publisher contacts the user of the terminal;
第三发送模块,被配置为在将所述子图像对应的人员确定为所述待找寻人员之后,根据接收的所述云端服务器发送的所述信息发布者的联系信息,输出提示信息,以提示所述终端的用户通知所述信息发布者。a third sending module, configured to output prompt information according to the contact information of the information publisher sent by the cloud server after determining the person corresponding to the sub image as the to-be-find person, to prompt The user of the terminal notifies the information publisher.
可选的,所述接收模块301包括:Optionally, the receiving module 301 includes:
接收子模块,被配置为接收所述云端服务器发送的所述待找寻人员的面部特征信息,及所述待找寻人员的身份信息,以使所述终端的用户对所述人员进行身份确认,其中,所述身份信息包括姓名、性别、年龄、身份证号、手机号中的至少一者。The receiving submodule is configured to receive the facial feature information of the to-be-find person sent by the cloud server, and the identity information of the to-be-searched person, so that the user of the terminal confirms the identity of the person, wherein The identity information includes at least one of a name, a gender, an age, an ID number, and a mobile phone number.
可选的,所述装置300还包括:Optionally, the device 300 further includes:
获取模块,被配置为获取开启操作;The obtaining module is configured to obtain an open operation;
开启模块,被配置为根据所述开启操作,开启协助寻人功能,以接收所述云端服务器发送的用于寻人的信息。The opening module is configured to, according to the opening operation, enable an assisting tracing function to receive information sent by the cloud server for tracing.
基于同一发明构思,本公开实施例提供一种人物搜寻装置,如图4所示,图4是根据一示例性实施例示出的一种人物搜寻装置400的框图,其中,该装置400可以应用于云端服务器,该装置400可以包括:Based on the same inventive concept, an embodiment of the present disclosure provides a person search device. As shown in FIG. 4, FIG. 4 is a block diagram of a person search device 400 according to an exemplary embodiment, where the device 400 can be applied. The cloud server, the device 400 can include:
接收模块401,被配置为接收信息发布者提供的待找寻人员的面部特征信息及搜寻范围;The receiving module 401 is configured to receive facial feature information and a search range of the person to be sought provided by the information publisher;
确定模块402,被配置为确定所述搜寻范围内,协助寻人功能处于开启状态的多个终端; The determining module 402 is configured to determine, in the search range, a plurality of terminals that assist the tracing function in an open state;
发送模块403,被配置为分别向所述多个终端发送所述待找寻人员的面部特征信息。The sending module 403 is configured to separately send facial feature information of the to-be-find person to the plurality of terminals.
关于上述实施例中的装置,其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述,此处将不做详细阐述说明。With regard to the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiment relating to the method, and will not be explained in detail herein.
在另一示例性实施例中,还提供了一种计算机程序产品,所述计算机程序产品包含能够由可编程的装置执行的计算机程序,所述计算机程序具有当由所述可编程的装置执行时用于执行上述的人物搜寻方法的代码部分。In another exemplary embodiment, there is also provided a computer program product comprising a computer program executable by a programmable device, the computer program having when executed by the programmable device A portion of the code used to perform the character search method described above.
在另一示例性实施例中,还提供了一种包括指令的非临时性计算机可读存储介质,所述非临时性计算机可读存储介质中包括一个或多个程序,所述一个或多个程序用于执行上述的人物搜寻方法。In another exemplary embodiment, there is also provided a non-transitory computer readable storage medium comprising instructions, the non-transitory computer readable storage medium comprising one or more programs, the one or more The program is used to execute the character search method described above.
在另一示例性实施例中,还提供了一种终端,包括:非临时性计算机可读存储介质;以及一个或者多个处理器,用于执行所述非临时性计算机可读存储介质中的程序;所述非临时性计算机可读存储介质中存储有用于执行上述应用于终端的人物搜寻方法的指令。In another exemplary embodiment, there is also provided a terminal comprising: a non-transitory computer readable storage medium; and one or more processors for executing in the non-transitory computer readable storage medium a program; the non-transitory computer readable storage medium storing instructions for executing the above-described character search method applied to the terminal.
在另一示例性实施例中,还提供了一种云端服务器,包括:非临时性计算机可读存储介质;以及一个或者多个处理器,用于执行所述非临时性计算机可读存储介质中的程序;所述非临时性计算机可读存储介质中存储有用于执行上述应用于云端服务器的人物搜寻方法的指令。In another exemplary embodiment, there is also provided a cloud server, comprising: a non-transitory computer readable storage medium; and one or more processors for executing in the non-transitory computer readable storage medium A program for executing the above-described character search method applied to the cloud server is stored in the non-transitory computer readable storage medium.
在本公开所提供的实施例中,应该理解到,所揭露的装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述模块或单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。In the embodiments provided by the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.
在本申请各个实施例中的各功能模块可以集成在一个处理单元中,也 可以是各个模块单独物理存在,也可以两个或两个以上模块集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件功能单元的形式实现。The functional modules in various embodiments of the present application may be integrated into one processing unit, It may be that each module exists physically separately, or two or more modules may be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)或处理器(processor)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、ROM(Read-Only Memory,只读存储器)、RAM(Random Access Memory,随机存取存储器)、磁碟或者光盘等各种可以存储程序代码的介质。The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application, in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a ROM (Read-Only Memory), a RAM (Random Access Memory), a disk or an optical disk, and the like, which can store program codes. .
以上所述,以上实施例仅用以对本公开的技术方案进行了详细介绍,但以上实施例的说明只是用于帮助理解本公开的方法及其核心思想,不应理解为对本公开的限制。本技术领域的技术人员在本公开揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本公开的保护范围之内。 The above embodiments are only used to describe the technical solutions of the present disclosure in detail, but the description of the above embodiments is only for helping to understand the method of the present disclosure and its core ideas, and should not be construed as limiting the disclosure. Those skilled in the art will be able to devise changes or substitutions that are conceivable within the scope of the present disclosure.

Claims (18)

  1. 一种人物搜寻方法,应用于终端,其特征在于,包括:A character searching method is applied to a terminal, which is characterized in that:
    接收云端服务器发送的待找寻人员的面部特征信息,其中,所述终端处于所述待找寻人员对应的搜寻范围内;Receiving facial feature information of the person to be sought sent by the cloud server, where the terminal is in a search range corresponding to the person to be sought;
    检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像;Detecting whether an image captured by the terminal includes a sub-image that matches the facial feature information;
    在检测到通过所述终端拍摄的图像包含所述子图像时,将所述子图像对应的人员确定为所述待找寻人员。When it is detected that the image captured by the terminal includes the sub-image, the person corresponding to the sub-image is determined as the person to be sought.
  2. 根据权利要求1所述的人物搜寻方法,其特征在于,检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像,包括:The person search method according to claim 1, wherein detecting whether the image captured by the terminal includes a sub-image matching the facial feature information comprises:
    在所述终端进行图像拍摄预览时,检测预览的图像是否包含所述子图像;或,When the terminal performs an image capturing preview, detecting whether the previewed image includes the sub-image; or
    在所述终端每拍摄一张图像时,检测拍摄的图像是否包含所述子图像;或,Detecting whether the captured image includes the sub-image every time the terminal captures an image; or
    在所述终端每拍摄一段视频时,检测拍摄的视频所包括的每一帧图像是否包含所述子图像。Each time the terminal captures a video, it is detected whether each frame image included in the captured video contains the sub-image.
  3. 根据权利要求1所述的人物搜寻方法,其特征在于,检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像,包括:The person search method according to claim 1, wherein detecting whether the image captured by the terminal includes a sub-image matching the facial feature information comprises:
    获取所述终端在接收到所述面部特征信息的时刻前的预设时长内拍摄的全部图像;Acquiring all images captured by the terminal within a preset duration before the time when the facial feature information is received;
    检测所述全部图像中的每一张图像是否包含所述子图像。Detecting whether each of the images includes the sub-image.
  4. 根据权利要求1所述的人物搜寻方法,其特征在于,在将所述子图 像对应的人员确定为所述待找寻人员之后,还包括:The character searching method according to claim 1, wherein said subpicture is After the corresponding person is determined to be the person to be sought, the method further includes:
    向所述云端服务器发送所述终端拍摄包含所述子图像的目标图像时,所述终端所处的位置范围,以通过所述云端服务器通知发布所述待找寻人员的面部特征信息的信息发布者;和/或,Sending, to the cloud server, a location range in which the terminal is located when the terminal captures a target image including the sub-image, to notify an information publisher that publishes facial feature information of the person to be sought through the cloud server ;and / or,
    向所述云端服务器发送所述终端的用户的联系信息,以通过所述云端服务器通知所述信息发布者联系所述终端的用户;和/或,Sending contact information of the user of the terminal to the cloud server, to notify the information publisher of contacting the user of the terminal by the cloud server; and/or,
    根据接收的所述云端服务器发送的所述信息发布者的联系信息,输出提示信息,以提示所述终端的用户通知所述信息发布者。And displaying the prompt information according to the received contact information of the information publisher sent by the cloud server, to prompt the user of the terminal to notify the information publisher.
  5. 根据权利要求1-4任一所述的人物搜寻方法,其特征在于,接收云端服务器发送的待找寻人员的面部特征信息,包括:The character searching method according to any one of claims 1 to 4, wherein receiving the facial feature information of the person to be sought sent by the cloud server comprises:
    接收所述云端服务器发送的所述待找寻人员的面部特征信息,及所述待找寻人员的身份信息,以使所述终端的用户对所述人员进行身份确认,其中,所述身份信息包括姓名、性别、年龄、身份证号、手机号中的至少一者。Receiving facial feature information of the person to be sought sent by the cloud server, and identity information of the person to be sought, so that the user of the terminal confirms the identity of the person, wherein the identity information includes a name At least one of gender, age, ID number, and mobile number.
  6. 根据权利要求1-4任一所述的人物搜寻方法,其特征在于,在接收云端服务器发送的待找寻人员的面部特征信息之前,还包括:The character searching method according to any one of claims 1 to 4, further comprising: before receiving the facial feature information of the person to be sought sent by the cloud server, the method further comprising:
    获取开启操作;Get open operation;
    根据所述开启操作,开启协助寻人功能,以接收所述云端服务器发送的用于寻人的信息。According to the opening operation, the assisting tracing function is turned on to receive the information sent by the cloud server for searching for people.
  7. 一种人物搜寻方法,应用于云端服务器,其特征在于,包括:A character search method is applied to a cloud server, and is characterized in that:
    接收信息发布者提供的待找寻人员的面部特征信息及搜寻范围;Receiving facial feature information and search range of the person to be sought provided by the information publisher;
    确定所述搜寻范围内,协助寻人功能处于开启状态的多个终端;Determining a plurality of terminals in the search range that assist the tracing function in an open state;
    分别向所述多个终端发送所述待找寻人员的面部特征信息。 Sending facial feature information of the person to be sought to the plurality of terminals respectively.
  8. 一种人物搜寻装置,应用于终端,其特征在于,包括:A character searching device is applied to a terminal, and includes:
    接收模块,被配置为接收云端服务器发送的待找寻人员的面部特征信息,其中,所述终端处于所述待找寻人员对应的搜寻范围内;The receiving module is configured to receive facial feature information of the person to be sought sent by the cloud server, where the terminal is in a search range corresponding to the person to be sought;
    检测模块,被配置为检测通过所述终端拍摄的图像是否包含与所述面部特征信息匹配的子图像;a detecting module configured to detect whether an image captured by the terminal includes a sub-image that matches the facial feature information;
    确定模块,被配置为在检测到通过所述终端拍摄的图像包含所述子图像时,将所述子图像对应的人员确定为所述待找寻人员。The determining module is configured to determine, when the image captured by the terminal includes the sub-image, the person corresponding to the sub-image as the person to be sought.
  9. 根据权利要求8所述的人物搜寻装置,其特征在于,所述检测模块包括以下子模块中的至少一者:The person search device according to claim 8, wherein the detection module comprises at least one of the following sub-modules:
    第一检测子模块,被配置为在所述终端进行图像拍摄预览时,检测预览的图像是否包含所述子图像;a first detecting submodule configured to detect whether the previewed image includes the sub image when the terminal performs an image capturing preview;
    第二检测子模块,被配置为在所述终端每拍摄一张图像时,检测拍摄的图像是否包含所述子图像;a second detecting submodule configured to detect, when the terminal captures an image, whether the captured image includes the sub image;
    第三检测子模块,被配置为在所述终端每拍摄一段视频时,检测拍摄的视频所包括的每一帧图像是否包含所述子图像。The third detecting submodule is configured to detect, when the terminal captures a video, whether each frame image included in the captured video includes the sub image.
  10. 根据权利要求8所述的人物搜寻装置,其特征在于,所述检测模块包括:The person search device according to claim 8, wherein the detecting module comprises:
    获取子模块,被配置为获取所述终端在接收到所述面部特征信息的时刻前的预设时长内拍摄的全部图像;Obtaining a sub-module configured to acquire all images captured by the terminal within a preset duration before the moment when the facial feature information is received;
    第四检测子模块,被配置为检测所述全部图像中的每一张图像是否包含所述子图像。 A fourth detection sub-module configured to detect whether each of the images includes the sub-image.
  11. 根据权利要求8所述的人物搜寻装置,其特征在于,所述装置还包括以下模块中的至少一者:The person search device according to claim 8, wherein the device further comprises at least one of the following modules:
    第一发送模块,被配置为在将所述子图像对应的人员确定为所述待找寻人员之后,向所述云端服务器发送所述终端拍摄包含所述子图像的目标图像时,所述终端所处的位置范围,以通过所述云端服务器通知发布所述待找寻人员的面部特征信息的信息发布者;a first sending module, configured to: after the person corresponding to the sub-image is determined as the person to be sought, send the terminal to the cloud server, when the terminal captures a target image including the sub-image, the terminal a location range at which the information publisher of the facial feature information of the person to be sought is posted by the cloud server;
    第二发送模块,被配置为在将所述子图像对应的人员确定为所述待找寻人员之后,向所述云端服务器发送所述终端的用户的联系信息,以通过所述云端服务器通知所述信息发布者联系所述终端的用户;a second sending module, configured to: after the person corresponding to the sub-image is determined to be the person to be sought, send the contact information of the user of the terminal to the cloud server, to notify the cloud server by using the cloud server The information publisher contacts the user of the terminal;
    第三发送模块,被配置为在将所述子图像对应的人员确定为所述待找寻人员之后,根据接收的所述云端服务器发送的所述信息发布者的联系信息,输出提示信息,以提示所述终端的用户通知所述信息发布者。a third sending module, configured to output prompt information according to the contact information of the information publisher sent by the cloud server after determining the person corresponding to the sub image as the to-be-find person, to prompt The user of the terminal notifies the information publisher.
  12. 根据权利要求8-11任一所述的人物搜寻装置,其特征在于,所述接收模块包括:The person search device according to any one of claims 8-11, wherein the receiving module comprises:
    接收子模块,被配置为接收所述云端服务器发送的所述待找寻人员的面部特征信息,及所述待找寻人员的身份信息,以使所述终端的用户对所述人员进行身份确认,其中,所述身份信息包括姓名、性别、年龄、身份证号、手机号中的至少一者。The receiving submodule is configured to receive the facial feature information of the to-be-find person sent by the cloud server, and the identity information of the to-be-searched person, so that the user of the terminal confirms the identity of the person, wherein The identity information includes at least one of a name, a gender, an age, an ID number, and a mobile phone number.
  13. 根据权利要求8-11任一所述的人物搜寻装置,其特征在于,所述装置还包括:The character search device according to any one of claims 8-11, wherein the device further comprises:
    获取模块,被配置为获取开启操作;The obtaining module is configured to obtain an open operation;
    开启模块,被配置为根据所述开启操作,开启协助寻人功能,以接收所述云端服务器发送的用于寻人的信息。 The opening module is configured to, according to the opening operation, enable an assisting tracing function to receive information sent by the cloud server for tracing.
  14. 一种人物搜寻装置,应用于云端服务器,其特征在于,包括:A character search device is applied to a cloud server, and includes:
    接收模块,被配置为接收信息发布者提供的待找寻人员的面部特征信息及搜寻范围;The receiving module is configured to receive facial feature information and a search range of the person to be sought provided by the information publisher;
    确定模块,被配置为确定所述搜寻范围内,协助寻人功能处于开启状态的多个终端;a determining module configured to determine a plurality of terminals in the search range that assist the tracing function in an open state;
    发送模块,被配置为分别向所述多个终端发送所述待找寻人员的面部特征信息。And a sending module, configured to separately send facial feature information of the to-be-find person to the plurality of terminals.
  15. 一种计算机程序产品,其特征在于,所述计算机程序产品包含能够由可编程的装置执行的计算机程序,所述计算机程序具有当由所述可编程的装置执行时用于执行权利要求1至7中任一项所述的方法的代码部分。A computer program product, comprising: a computer program executable by a programmable device, the computer program having when executed by the programmable device for performing claims 1 to 7 The code portion of the method of any of the preceding claims.
  16. 一种非临时性计算机可读存储介质,其特征在于,所述非临时性计算机可读存储介质中包括一个或多个程序,所述一个或多个程序用于执行权利要求1至7中任一项所述的方法。A non-transitory computer readable storage medium, characterized in that the non-transitory computer readable storage medium comprises one or more programs for performing any of claims 1 to 7. One of the methods described.
  17. 一种终端,其特征在于,包括:A terminal, comprising:
    非临时性计算机可读存储介质;以及Non-transitory computer readable storage medium;
    一个或者多个处理器,用于执行所述非临时性计算机可读存储介质中的程序;所述非临时性计算机可读存储介质中存储有用于执行如权利要求1-6任一所述的方法的指令。One or more processors for executing a program in the non-transitory computer readable storage medium; the non-transitory computer readable storage medium storing for performing the method of any of claims 1-6 Method of instruction.
  18. 一种云端服务器,其特征在于,包括:A cloud server, comprising:
    非临时性计算机可读存储介质;以及Non-transitory computer readable storage medium;
    一个或者多个处理器,用于执行所述非临时性计算机可读存储介质中 的程序;所述非临时性计算机可读存储介质中存储有用于执行如权利要求7所述的方法的指令。 One or more processors for executing the non-transitory computer readable storage medium The program of the non-transitory computer readable storage medium storing instructions for performing the method of claim 7.
PCT/CN2017/111400 2017-11-16 2017-11-16 Method for searching for person, apparatus, terminal and cloud server WO2019095221A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201780002493.4A CN108064388A (en) 2017-11-16 2017-11-16 Personage's method for searching, device, terminal and cloud server
PCT/CN2017/111400 WO2019095221A1 (en) 2017-11-16 2017-11-16 Method for searching for person, apparatus, terminal and cloud server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/111400 WO2019095221A1 (en) 2017-11-16 2017-11-16 Method for searching for person, apparatus, terminal and cloud server

Publications (1)

Publication Number Publication Date
WO2019095221A1 true WO2019095221A1 (en) 2019-05-23

Family

ID=62142048

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/111400 WO2019095221A1 (en) 2017-11-16 2017-11-16 Method for searching for person, apparatus, terminal and cloud server

Country Status (2)

Country Link
CN (1) CN108064388A (en)
WO (1) WO2019095221A1 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111625654A (en) * 2020-04-14 2020-09-04 北京旷视科技有限公司 Relation graph generation method, propagation path confirmation method and device
CN112836192A (en) * 2020-12-14 2021-05-25 航天信息股份有限公司 Method and device for issuing portrait feature data
CN114699005A (en) * 2022-03-08 2022-07-05 向道全 Intelligent tissue machine that possesses theftproof function

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108764109A (en) * 2018-05-23 2018-11-06 西安理工大学 It is a kind of that dog system and method is sought based on dog face image identification technology
CN110532839A (en) * 2018-05-25 2019-12-03 中兴通讯股份有限公司 Target homing method, apparatus and terminal, computer readable storage medium
CN110555876B (en) * 2018-05-30 2022-05-03 百度在线网络技术(北京)有限公司 Method and apparatus for determining position
CN110848612A (en) * 2018-07-24 2020-02-28 东旭科技集团有限公司 Street lamp and high in clouds server with locate function
CN109214862A (en) * 2018-08-23 2019-01-15 深圳市元征科技股份有限公司 A kind of method for searching and relevant device of the personnel that wander away
CN111222372A (en) * 2018-11-26 2020-06-02 珠海格力电器股份有限公司 Person searching method, device, storage medium and processor
CN110049097A (en) * 2019-03-04 2019-07-23 平安科技(深圳)有限公司 Information-pushing method, device, server and computer storage medium
CN110570461B (en) * 2019-09-10 2021-11-16 中国计量大学 Method for realizing automatic person-searching tracking by combining community lighting network and cloud platform community population information base
CN113041615A (en) * 2019-12-27 2021-06-29 阿里巴巴集团控股有限公司 Scene presenting method, device, client, server, equipment and storage medium
CN112130588B (en) * 2020-08-27 2022-03-01 东风汽车集团有限公司 Method for searching target person, vehicle-mounted terminal and unmanned aerial vehicle

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0944019A2 (en) * 1998-03-16 1999-09-22 Hewlett-Packard Company A person identifier and management system
CN1704928A (en) * 2004-06-03 2005-12-07 佳能株式会社 Camera system, camera, and camera control method
CN101174298A (en) * 2006-11-02 2008-05-07 上海银晨智能识别科技有限公司 Scattered-point high-volume face recognition system and recognizing method thereof
WO2008097051A1 (en) * 2007-02-08 2008-08-14 Olaworks, Inc. Method for searching specific person included in digital data, and method and apparatus for producing copyright report for the specific person
CN101271519A (en) * 2007-03-22 2008-09-24 阿特尼克斯有限公司 A method and apparatus for detecting faces
CN202121706U (en) * 2011-03-24 2012-01-18 杭州海康威视软件有限公司 Intelligent personnel monitoring system
CN102467659A (en) * 2010-11-16 2012-05-23 金奈科技股份有限公司 High-definition image type face identification and monitoring system
CN103049734A (en) * 2011-10-12 2013-04-17 杜惠红 Method and system for finding person in public place
CN104869366A (en) * 2015-06-02 2015-08-26 四川正好科技发展有限公司 Alarming monitoring people-searching system and multifunctional automatic people-searching method based on alarming monitoring people-searching system
KR20170015639A (en) * 2015-07-29 2017-02-09 대한민국(관리부서: 행정자치부 국립과학수사연구원장) Personal Identification System And Method By Face Recognition In Digital Image

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100963279B1 (en) * 2007-02-08 2010-06-11 안순현 Perceive system of harmful-gas emitting vehicles and method thereby
CN101989300A (en) * 2010-10-15 2011-03-23 江苏省莱科信息技术有限公司 Missing person seeking system and implementation method for seeking missing person
CN103051705A (en) * 2012-12-19 2013-04-17 中兴通讯股份有限公司 Method and device for determining target person and mobile terminal
CN107295294A (en) * 2016-03-30 2017-10-24 杭州海康威视数字技术股份有限公司 A kind of intelligent looking-for-person method, apparatus and system
CN106127648A (en) * 2016-06-16 2016-11-16 广东省科技基础条件平台中心 Personnel's fast searching system and method based on mobile Internet and location-based service

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0944019A2 (en) * 1998-03-16 1999-09-22 Hewlett-Packard Company A person identifier and management system
CN1704928A (en) * 2004-06-03 2005-12-07 佳能株式会社 Camera system, camera, and camera control method
CN101174298A (en) * 2006-11-02 2008-05-07 上海银晨智能识别科技有限公司 Scattered-point high-volume face recognition system and recognizing method thereof
WO2008097051A1 (en) * 2007-02-08 2008-08-14 Olaworks, Inc. Method for searching specific person included in digital data, and method and apparatus for producing copyright report for the specific person
CN101271519A (en) * 2007-03-22 2008-09-24 阿特尼克斯有限公司 A method and apparatus for detecting faces
CN102467659A (en) * 2010-11-16 2012-05-23 金奈科技股份有限公司 High-definition image type face identification and monitoring system
CN202121706U (en) * 2011-03-24 2012-01-18 杭州海康威视软件有限公司 Intelligent personnel monitoring system
CN103049734A (en) * 2011-10-12 2013-04-17 杜惠红 Method and system for finding person in public place
CN104869366A (en) * 2015-06-02 2015-08-26 四川正好科技发展有限公司 Alarming monitoring people-searching system and multifunctional automatic people-searching method based on alarming monitoring people-searching system
KR20170015639A (en) * 2015-07-29 2017-02-09 대한민국(관리부서: 행정자치부 국립과학수사연구원장) Personal Identification System And Method By Face Recognition In Digital Image

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111625654A (en) * 2020-04-14 2020-09-04 北京旷视科技有限公司 Relation graph generation method, propagation path confirmation method and device
CN112836192A (en) * 2020-12-14 2021-05-25 航天信息股份有限公司 Method and device for issuing portrait feature data
CN112836192B (en) * 2020-12-14 2023-10-31 航天信息股份有限公司 Portrait characteristic data issuing method and device
CN114699005A (en) * 2022-03-08 2022-07-05 向道全 Intelligent tissue machine that possesses theftproof function

Also Published As

Publication number Publication date
CN108064388A (en) 2018-05-22

Similar Documents

Publication Publication Date Title
WO2019095221A1 (en) Method for searching for person, apparatus, terminal and cloud server
US11381556B2 (en) Method and device for information interaction and association between human biological feature data and account
US11394708B2 (en) Account information obtaining method, terminal, server and system
RU2735617C2 (en) Method, apparatus and system for displaying information
US10832037B2 (en) Method and apparatus for detecting image type
US10165201B2 (en) Image processing method and apparatus and terminal device to obtain a group photo including photographer
TW201516939A (en) Method and device for inquiring user identity, method and device for acquiring user identity, and method and device for adding friend in instant messaging
US8560625B1 (en) Facilitating photo sharing
WO2017084220A1 (en) Photography processing method and apparatus, and terminal
TWI586160B (en) Real time object scanning using a mobile phone and cloud-based visual search engine
WO2013182101A1 (en) Method, device and mobile terminal for determining target person
CN108897996B (en) Identification information association method and device, electronic equipment and storage medium
WO2020044099A1 (en) Service processing method and apparatus based on object recognition
TWI752937B (en) Recognition method, device, mobile terminal and camera for photographed objects
WO2016203698A1 (en) Face detection device, face detection system, and face detection method
WO2017197778A1 (en) Image transmission method and device
US20140333746A1 (en) Method and apparatus for inquiring information
CN109413760B (en) Wireless connection method and device
WO2016197657A1 (en) Photographing processing method and apparatus
WO2018223998A1 (en) Start method and device for service process
WO2018133354A1 (en) Information acquisition method and acquisition device
CN110909691B (en) Motion detection method, motion detection device, computer-readable storage medium, and computer device
JP2015233204A (en) Image recording device and image recording method
Mukherjee et al. Energy efficient face recognition in mobile-fog environment
WO2023084764A1 (en) User terminal, process execution device, authentication system, authentication assistance method, process execution method, and computer readable medium

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17932251

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 21/09/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17932251

Country of ref document: EP

Kind code of ref document: A1