WO2018119599A1 - 人员查找的方法、装置及通信系统 - Google Patents

人员查找的方法、装置及通信系统 Download PDF

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Publication number
WO2018119599A1
WO2018119599A1 PCT/CN2016/112179 CN2016112179W WO2018119599A1 WO 2018119599 A1 WO2018119599 A1 WO 2018119599A1 CN 2016112179 W CN2016112179 W CN 2016112179W WO 2018119599 A1 WO2018119599 A1 WO 2018119599A1
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WIPO (PCT)
Prior art keywords
image
terminal
recognized
identified
preset
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Application number
PCT/CN2016/112179
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English (en)
French (fr)
Inventor
张翠
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.)
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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 CN201680009507.0A priority Critical patent/CN107278369B/zh
Priority to PCT/CN2016/112179 priority patent/WO2018119599A1/zh
Publication of WO2018119599A1 publication Critical patent/WO2018119599A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/61Control of cameras or camera modules based on recognised objects
    • H04N23/611Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
    • 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
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • G06V40/168Feature extraction; Face representation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/57Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices

Definitions

  • the present application relates to the field of wireless communication technologies, and in particular, to a method, an apparatus, and a communication system for a person to find.
  • cameras At present, cameras, shopping malls, office buildings and other public places are generally equipped with cameras.
  • the police can use the images collected by the camera and face recognition technology to perform personnel search, for example, to find missing persons or criminals. .
  • the image captured by the camera can be transmitted to the background server through the network, and then the background server can recognize the face information in the image uploaded by the camera by using the face recognition technology, and the face information database of the missing child. Contrast to determine if the missing image is included in the image uploaded by the camera.
  • the background server still needs to compare the face information in each image uploaded by the camera with the missing face database of the missing child, that is, the camera uploads a large number of redundant images. , resulting in a large network transmission overhead.
  • the embodiment of the present application discloses a method, a device, and a communication system for a person to search, which are mainly used to solve the problem that a camera uploads a large number of redundant images, resulting in a large network transmission overhead.
  • a method for personnel lookup including:
  • the preset condition includes: the face information that satisfies the preset feature in the image to be recognized currently captured by the camera of the terminal;
  • the server determines whether the target person exists in the image to be identified by comparing the image to be identified with the target personnel information in the target personnel information database.
  • a device for personnel lookup comprising:
  • a detecting module configured to detect whether the preset condition is met; the preset condition includes: the face information that satisfies the preset feature in the image to be recognized currently captured by the camera of the terminal;
  • a sending module configured to send the to-be-identified image to a server if the detecting module detects that the preset condition is met
  • a determining module configured to determine whether a target person exists in the image to be identified by comparing the image to be identified with target personnel information in a target personnel information base.
  • a computer storage medium for storing computer software instructions comprising program code designed to perform the method of personnel lookup in the first aspect described above.
  • a computer program product can be directly loaded into an internal memory of a computer and contains software code that can be loaded and executed by a computer to implement the method of person lookup in the first aspect described above.
  • a communication system comprising an electronic device and a server, the electronic device for performing a method performed by a terminal in a first aspect, the server being configured to perform execution by a server in the first aspect method.
  • the method, the device, and the communication system provided by the embodiment of the present application are required to upload all the images collected by the camera to the server in the prior art, resulting in a large network transmission overhead.
  • the terminal is in the embodiment.
  • the image to be recognized captured by the camera is filtered.
  • the uploading is performed, thereby avoiding a large number of files that do not contain the current need to be searched.
  • the image of the information is uploaded to the server, reducing the network transmission overhead.
  • FIG. 1 is a schematic structural diagram of a system for personnel searching according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart diagram of a method for personnel searching according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of another method for personnel searching according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of an apparatus for searching for a person according to an embodiment of the present disclosure
  • FIG. 5 is a schematic structural diagram of another device for searching by a person according to an embodiment of the present disclosure
  • FIG. 6 is a schematic structural diagram of another device for searching by a person according to an embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of a communication system according to an embodiment of the present application.
  • a terminal also called a User Equipment (UE) is a device that provides voice and/or data connectivity to users, for example, a handheld device with a wireless connection function, an in-vehicle device, and the like.
  • Common terminals include, for example, mobile phones, tablets, notebook computers, PDAs, mobile internet devices (MIDs), wearable devices such as smart watches, smart helmets, smart bracelets, pedometers, and the like.
  • MIDs mobile internet devices
  • wearable devices such as smart watches, smart helmets, smart bracelets, pedometers, and the like.
  • the embodiment of the present application provides a personnel search system.
  • the system includes a camera 101, a terminal 102, and a server 103.
  • the camera 101 is used to capture an image.
  • the camera 101 in the embodiment of the present application may be integrated in the terminal 102, or the camera 101 and the terminal 102 may be separately provided, and the terminal 102 may manage a plurality of cameras 101.
  • the terminal 102 can acquire the image captured by the camera 101, and recognize the face in the image by using the face recognition technology, and then use the age recognition technology or the gender technology to determine whether the face information in the image satisfies the preset feature, and if satisfied, This image is uploaded to the server 103.
  • the age recognition technique can be used to determine whether there is face information below the preset age in the image, and if there is a child in the image, the image is uploaded to the server 103.
  • the server 103 stores a target personnel information database, for example, a missing child information database, a missing women information database, etc., and the server 103 can compare the face information in the image uploaded by the terminal 102 with the target person in the target personnel information database, thereby It can be determined whether there is a target person in the image uploaded by the terminal 102. For example, if the server 103 can identify the image uploaded by the terminal 102 by the face recognition technology, when it is determined that the recognized face information matches the missing child information in the missing child information database, it indicates that the image uploaded by the terminal 102 is missing. Children, in turn, provide convenience for the relevant personnel to find missing children.
  • a target personnel information database for example, a missing child information database, a missing women information database, etc.
  • a camera having a processing function may be used, that is, after acquiring an image, the camera may use an age recognition technology or a gender recognition technology to determine whether the face information in the image satisfies a preset feature, and if satisfied, Then, the camera uploads the image to the server, and does not need to process through the terminal and upload the image.
  • the system shown in FIG. 1 may only include the camera and the server.
  • the terminal uploads all the images collected by the camera to the server, which generates excessive unnecessary network overhead, and most of the images may not have the personnel information to be searched, and the server still needs to identify all the images. In addition, the search efficiency is very low.
  • the embodiment of the present application provides a method for personnel searching, and the method can be applied to the system shown in FIG. The method includes:
  • the terminal detects whether the preset condition is met, where the preset condition includes: the face information that meets the preset feature exists in the to-be-identified image currently captured by the camera of the terminal. If yes, step 202 is performed, and if not, the terminal does not send the image to be identified to the server.
  • the preset feature is set according to the characteristics of the person to be found. For example, if the missing child is found, the preset feature may be lower than the specified age. If the missing woman is found, the preset feature may be gender. Female. That is, the terminal can detect whether there is face information in the to-be-identified image in the specified age interval by using the age recognition technology, or the terminal can detect whether there is face information of the specified gender in the image to be identified through the gender recognition technology.
  • the terminal may further detect, in the image to be identified, whether there is face information whose age is in a specified age range and the gender is a specified gender, for example, if it is necessary to focus on finding a girl aged 8 years, the terminal It is possible to detect whether there is face information in the image to be identified that is younger than 10 years old and whose gender is female.
  • the terminal only sends the image to be recognized that has the face information satisfying the preset feature to the server. For example, if the missing child is currently found, the image to be identified with the child information is filtered and uploaded to the server.
  • the server compares the image to be identified with the target personnel information in the target personnel information database, and determines whether a target person exists in the image to be identified.
  • the target personnel information database includes face information of each target person, for example, the missing face information of each missing child in the missing child database, and still needs to find the missing child as an example, the server can identify the terminal by face recognition technology. Uploading the face information in the picture to be recognized, and then comparing the recognized face information with the face information of the missing child in the missing child information database, if found in the missing child information database and in the picture to be identified The face information matched by the face information indicates that the camera managed by the terminal has captured the missing child, and the relevant person can determine the time and place of the missing child through the image to be recognized and the related video image data. In order to find missing children.
  • the terminal will upload the image before The image to be recognized captured by the camera is filtered, and it is uploaded when it is determined that there is face information satisfying the preset feature in the image to be recognized captured by the camera, thereby avoiding uploading a large number of images not including the information currently needed to be searched to Server, reducing network transmission overhead.
  • the terminal can not only filter the image to be recognized according to the face information, but also further determine the environment in which the character in the image to be recognized is located, for example, if the user is taking a photo taken at home through the terminal, the person in the photo The possibility of being a missing person is very small, so that only the image to be identified whose background is a public place can be uploaded to the server.
  • the preset condition further includes shooting. The background environment when the image is recognized is a public place. As shown in FIG. 3, in the above step 201, the terminal detects whether the preset condition is met, and may be specifically implemented as steps 2011 to 2012.
  • the terminal detects whether there is face information that meets the preset feature in the image to be recognized currently captured by the camera. If yes, go to step 2012.
  • the terminal detecting information of the preset feature is currently detected by the terminal detecting camera, the terminal detects whether the background environment when the image to be recognized is taken is a public place.
  • the background environment when the image to be recognized is taken is not a public place, the image to be recognized is not sent to the server, and if the background environment when the image to be recognized is taken is a public place, steps 202 to 203 are performed.
  • the following two methods can be used to detect whether the background environment of the image to be identified is a public place.
  • the first type is used by the terminal to detect the brightness of the background ambient light when the image to be recognized is captured. If the brightness of the background ambient light is greater than the preset brightness, the background location of the image to be recognized is determined to be a public place.
  • the outdoor for example, on the street
  • indoors for example, in a home or an office
  • the terminal determines the shooting position of the image to be recognized, if the terminal stays at the shooting position for less than the preset number of times in the preset time period, and/or the terminal stays at the shooting position within the preset time period is less than
  • the preset time length determines that the background environment of the image to be recognized is a public place.
  • the user generally has more stays at home or a company and has a longer stay time, but in a public place, usually only a short stay, and the possibility of frequent occurrence in one location is small, so it can be based on the terminal.
  • the dwell time and/or the number of dwells of the photographing position of the image are identified to distinguish whether the photographing position is a public place. For example, if the terminal only stays twice in the shooting position within one week and the time of each stay is less than ten minutes, it can be determined that the shooting position is a public place.
  • the terminal filters the face information and the background environment of the image to be recognized before uploading the image, and only if the face information satisfies the preset feature, and the background environment is determined to be a public place, Uploading the image to be identified to the server avoids uploading a large number of images that do not contain the information currently needed to be searched to the server, reducing network transmission overhead.
  • the target personnel information database needs to be created in advance before the method flow shown in FIG. 2 is executed, and the target personnel information database needs to be updated subsequently, when the server receives the public security After the library or the image of the target person uploaded by the family of the missing person, the image of the target person to be received is also detected.
  • the target person image is stored in the target person.
  • the server specifically needs to detect whether there is face information in the target age image in the target person image through the age recognition technology, or whether the face information of the specified gender exists in the target person image through the gender recognition technology.
  • the server determines the face information of the preset feature in the target person image, and determines that the background environment in the target person image is a public place, the target person image is stored in the target personnel information base.
  • the server detects whether the target person image sent by the terminal is stored.
  • the face information that satisfies the preset feature is to prevent the terminal from uploading the wrong image information, resulting in inaccurate information in the target personnel information base.
  • the embodiment of the present application may divide the function module by the device searched by the example according to the foregoing method.
  • each function module may be divided according to each function, or two or more functions may be integrated into one processing module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of the module in the embodiment of the present application is schematic, and is only a logical function division, and the actual implementation may have another division manner.
  • FIG. 4 is a schematic diagram of a possible structure of a device for searching by a person involved in the foregoing embodiment, where the device includes: a detection module 401, a sending module 402, and a determination. Module 403.
  • the detecting module 401 is configured to support the device to perform step 201 in FIG. 2 and steps 2011 and 2012 in FIG. 3.
  • the sending module 402 is configured to support the device to perform step 202 in FIG. 2, and the determining module 403 is configured to support the device to execute. Step 203 in FIG. All the related content of the steps involved in the foregoing method embodiments may be referred to the functional descriptions of the corresponding functional modules, and details are not described herein again.
  • FIG. 5 shows a possible structural diagram of the device for person search involved in the above embodiment.
  • the device includes a processing module 502 and a communication module 503.
  • the processing module 502 is configured to control and manage the actions of the device.
  • the processing module 502 is configured to support the device to perform steps 201 and 203 in FIG. 2 and steps 2011 and 2012 in FIG. 3, and/or Other processes of the described technology.
  • Communication module 503 is used to support communication between the terminal and other network entities, such as with the functional modules or network entities shown in FIG.
  • the terminal can also A storage module 501 is included for storing program codes and data of the terminal.
  • the processing module 502 can be a processor or a controller, and can be, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application-specific integrated circuit (Application-Specific). Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure.
  • the processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like.
  • the communication module 503 can be a communication interface, a transceiver circuit, a communication interface, or the like.
  • the storage module 501 can be a memory.
  • the processing module 502 is a processor
  • the communication module 503 is a communication interface
  • the storage module 501 is a memory
  • the device for searching by a person involved in the embodiment of the present application is as shown in FIG. 6.
  • the apparatus includes a processor 602, a communication interface 603, a memory 601, and a bus 604.
  • the communication interface 603, the processor 602, and the memory 601 are connected to each other through a bus 604.
  • the bus 604 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. Wait.
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 6, but it does not mean that there is only one bus or one type of bus.
  • the steps of a method or algorithm described in connection with the present disclosure may be implemented in a hardware or may be implemented by a processor executing software instructions.
  • the software instructions can be composed of corresponding software modules, which can be stored in random access memory (RAM), flash memory, read only memory (ROM), and erasable programmable read only memory (Erasable).
  • RAM random access memory
  • ROM read only memory
  • Erasable erasable programmable read only memory
  • ProgrammableROM, EPROM electrically erasable programmable read only memory
  • Electrically EPROM, EEPROM electrically erasable programmable read only memory
  • registers hard disk, removable hard disk, compact disk read only (CD-ROM) or any other form of storage medium known in the art.
  • An exemplary storage medium is coupled to the processor to enable the processor to read information from, and write information to, the storage medium.
  • the storage medium can also be an integral part of the processor.
  • the processor and the storage medium can be located in an ASIC. Additionally, the A
  • the embodiment of the present application further provides a computer program product, which can be directly loaded into the memory 601 and contains software code, and the computer program can be loaded and executed by a computer to implement the above-mentioned method for person search.
  • the embodiment of the present application further provides a communication system.
  • the system includes an electronic device 701 and a server 702.
  • the electronic device is configured to perform steps 201 and 202 in FIG. 2 and step 2011 in FIG. 3,
  • the server is configured to perform step 203 in FIG.
  • the electronic device 701 can be a robot.

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Abstract

本申请公开了一种人员查找的方法及装置,涉及无线通信技术领域。可以解决摄像头上传大量冗余图像,导致网络传输开销较大的问题。本申请实施例公开的人员查找的方法,包括:由终端检测是否满足预设条件,预设条件为终端的摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息,若存在,则将待识别图像发送至服务器,进而由服务器将待识别图像与目标人员信息库中的目标人员信息进行比较,确定待识别图像中是否存在目标人员。本申请应用在查找目标人员的过程中。

Description

人员查找的方法、装置及通信系统 技术领域
本申请涉及无线通信技术领域,尤其涉及一种人员查找的方法、装置及通信系统。
背景技术
目前,车站、商场、写字楼等公共场所一般都安装有摄像头,随着通信技术的发展,警方可以通过摄像头采集的图像以及人脸识别等技术来进行人员查找,例如,查找失踪人员或者犯罪分子等。
以查找失踪儿童为例,可以将摄像头采集到的图像通过网络传输至后台服务器,然后后台服务器可以采用人脸识别技术识别摄像头上传的图像中的人脸信息,并与失踪儿童的人脸信息库进行对比,从而判别出摄像头上传的图像中是否包含失踪儿童。
然而,摄像头上传的大部分图像中可能并没有儿童,后台服务器仍需将摄像头上传的每个图像中的人脸信息与失踪儿童的人脸信息库进行比较,即摄像头上传了大量的冗余图像,导致网络传输开销较大。
发明内容
本申请实施例公开一种人员查找的方法、装置及通信系统,主要用以解决摄像头上传大量冗余图像,导致网络传输开销较大的问题。
为达到上述目的,本申请实施例采用如下技术方案:
第一方面,提供一种人员查找的方法,包括:
由终端检测是否满足预设条件;所述预设条件包括:终端的摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息;
若是,则将所述待识别图像发送至服务器;
由所述服务器通过将所述待识别图像与目标人员信息库中的目标人员信息进行比较,确定所述待识别图像中是否存在目标人员。
第二方面,提供一种人员查找的装置,所述装置包括:
检测模块,用于检测是否满足预设条件;所述预设条件包括:终端的摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息;
发送模块,用于若所述检测模块检测到满足所述预设条件,则将所述待识别图像发送至服务器;
确定模块,用于通过将所述待识别图像与目标人员信息库中的目标人员信息进行比较,确定所述待识别图像中是否存在目标人员。
第三方面,提供一种计算机存储介质,用于储存计算机软件指令,其包含执行上述第一方面中人员查找的方法所设计的程序代码。
第四方面,提供一种计算机程序产品,可直接加载到计算机的内部存储器中,并含有软件代码,所述计算机程序经由计算机载入并执行后能够实现上述第一方面中人员查找的方法。
第五方面,提供一种通信系统,所述系统包括电子设备和服务器,所述电子设备用于执行第一方面中由终端执行的方法,所述服务器用于执行第一方面中由服务器执行的方法。
本申请实施例提供的人员查找的方法、装置及通信系统,与现有技术中需要将摄像头采集的所有图像均上传至服务器,导致网络传输开销较大相比,本申请实施例中,终端在上传图像之前会对摄像头拍摄的待识别图像进行筛选,当确定摄像头拍摄的待识别图像中存在满足预设特征的人脸信息时才会上传,这样就避免了将大量的不包含当前需要查找的信息的图像上传至服务器,减小了网络传输开销。
附图说明
图1为本申请实施例提供的人员查找的系统的架构示意图;
图2为本申请实施例提供的一种人员查找的方法的流程示意图;
图3为本申请实施例提供的另一种人员查找的方法的流程示意 图;
图4为本申请实施例提供的一种人员查找的装置的结构示意图;
图5为本申请实施例提供的另一种人员查找的装置的结构示意图;
图6为本申请实施例提供的另一种人员查找的装置的结构示意图;
图7为本申请实施例提供的一种通信系统的结构示意图。
具体实施方式
本申请实施例描述的系统架构以及业务场景是为了更加清楚的说明本申请实施例的技术方案,并不构成对于本申请实施例提供的技术方案的限定,本领域普通技术人员可知,随着系统架构的演变和新业务场景的出现,本申请实施例提供的技术方案对于类似的技术问题,同样适用。
需要说明的是,本申请实施例中,“示例性的”或者“例如”等词用于表示作例子、例证或说明。本申请实施例中被描述为“示例性的”或者“例如”的任何实施例或设计方案不应被解释为比其它实施例或设计方案更优选或更具优势。确切而言,使用“示例性的”或者“例如”等词旨在以具体方式呈现相关概念。
需要说明的是,本申请实施例中,“的(英文:of)”,“相应的(英文:corresponding,relevant)”和“对应的(英文:corresponding)”有时可以混用,应当指出的是,在不强调其区别时,其所要表达的含义是一致的。
终端,又称之为用户设备(User Equipment,UE),是一种向用户提供语音和/或数据连通性的设备,例如,具有无线连接功能的手持式设备、车载设备等。常见的终端例如包括:手机、平板电脑、笔记本电脑、掌上电脑、移动互联网设备(mobile internet device,MID)、可穿戴设备,例如智能手表、智能头盔、智能手环、计步器等。
本申请实施例提供一种人员查找系统,如图1所示,该系统中包括摄像头101、终端102以及服务器103。
其中,摄像头101用于拍摄图像。
需要说明的是,本申请实施例中的摄像头101可以集成在终端102中,或者,摄像头101与终端102分开设置,终端102可以管理多个摄像头101。
终端102可以获取摄像头101采集的图像,并采用人脸识别技术识别图像中的人脸,然后采用年龄识别技术或者性别技术来判断图像中的人脸信息是否满足预设特征,如果满足,则将该图像上传至服务器103。例如,可以通过年龄识别技术来判断图像中是否存在低于预设年龄的人脸信息,如果存在,说明图像中有儿童,则将该图像上传至服务器103。
服务器103中存储有目标人员信息库,例如,失踪儿童信息库,失踪妇女信息库等,服务器103可以将终端102上传的图像中的人脸信息与目标人员信息库中的目标人员相比较,从而可以确定终端102上传的图像中是否存在目标人员。例如,如果服务器103可通过人脸识别技术识别终端102上传的图像,当确定识别出的人脸信息与失踪儿童信息库中的失踪儿童信息相匹配时,说明终端102上传的图像中出现了失踪儿童,进而为相关人员查找失踪儿童提供了便捷。
需要说明的是,本申请实施例还可以采用具有处理功能的摄像头,即采集图像之后,摄像头可以采用年龄识别技术或者性别识别技术来判断图像中的人脸信息是否满足预设特征,如果满足,则摄像头将该图像上传至服务器,无需通过终端处理以及上传图像,则此时图1所示的系统中可以只包含摄像头和服务器。
由于现有技术中终端会将摄像头采集到的全部图像都上传至服务器,产生了过多不必要的网络开销,且大部分图像中可能没有需要查找的人员信息,服务器仍需对所有图像进行识别以及对比,查找效率很低,为了解决网络传输开销较大的问题,本申请实施例提供了一种人员查找的方法,该方法可以应用于图1所示的系统中,如图2所示,该方法包括:
201、由终端检测是否满足预设条件,其中,预设条件包括:终端的摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息。若是,则执行步骤202,若否,则终端不会将该待识别图像发送至服务器。
需要说明的是,预设特征是根据需要查找的人员特征设置的,例如,如果查找失踪儿童,则预设特征可以为年龄低于指定年龄,如果查找失踪妇女,则预设特征可以为性别为女。即终端可以通过年龄识别技术检测待识别图像中是否存在处于指定年龄区间的人脸信息,或者终端可以通过性别识别技术检测待识别图像中是否存在指定性别的人脸信息。
在一种可能的实现方式中,终端还可以检测待识别图像中是否存在年龄处于指定年龄区间,且性别为指定性别的人脸信息,例如,假设需要重点查找年龄为8岁的女孩,则终端可以检测待识别图像中是否存在年龄小于10岁,性别为女的人脸信息。
202、由终端将待识别图像发送至服务器。
可以理解的是,终端只将存在满足预设特征的人脸信息的待识别图像发送至服务器,例如当前查找的是失踪儿童,则筛选出存在儿童信息的待识别图像上传至服务器。
203、由服务器将待识别图像与目标人员信息库中的目标人员信息进行比较,确定待识别图像中是否存在目标人员。
其中,目标人员信息库中包含每个目标人员的人脸信息,例如失踪儿童数据库中包含每个失踪儿童的人脸信息,仍以需要查找失踪儿童为例,服务器可以通过人脸识别技术识别终端上传的待识别图片中的人脸信息,然后将识别到的人脸信息与失踪儿童信息库中的失踪儿童的人脸信息进行对比,如果在失踪儿童信息库中查找到与待识别图片中的人脸信息相匹配的人脸信息,则说明终端所管理的摄像头拍摄到了失踪儿童,进而相关人员可以通过该待识别图片以及通过调取相关的视频图像资料,确定失踪儿童出现的时间和地点,以便于查找到失踪儿童。
本申请实施例提供的人员查找的方法,与现有技术中需要将摄像头采集的所有图像均上传至服务器,导致网络传输开销较大相比,本申请实施例中,终端在上传图像之前会对摄像头拍摄的待识别图像进行筛选,当确定摄像头拍摄的待识别图像中存在满足预设特征的人脸信息时才会上传,这样就避免了将大量的不包含当前需要查找的信息的图像上传至服务器,减小了网络传输开销。
需要说明的是,终端不仅可以根据人脸信息对待识别图像进行筛选,还可以进一步判断待识别图像中的人物所处的环境,例如,如果用户是通过终端在家里拍的照片,照片中的人物是失踪人员的可能性就非常小,所以可以只将背景为公共场所的待识别图像上传至服务器,基于此,在本申请实施例提供的另一种实现方式中,预设条件还包括拍摄待识别图像时的背景环境为公共场所,如图3所示,上述步骤201、由终端检测是否满足预设条件,具体可以实现为步骤2011至2012。
2011、由终端检测摄像头当前拍摄的待识别图像中是否存在满足预设特征的人脸信息。若存在,则执行步骤2012。
2012、如果终端检测摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息,由终端检测拍摄待识别图像时的背景环境是否为公共场所。
其中,如果拍摄待识别图像时的背景环境不是公共场所,则不不会将该待识别图像发送至服务器,如果拍摄待识别图像时的背景环境为公共场所,则执行步骤202至203。
具体可以通过以下两种方法来检测待识别图像的背景环境是否为公共场所。
第一种、由终端检测拍摄待识别图像时的背景环境光的亮度,若背景环境光的亮度大于预设亮度,则确定待识别图像的背景场所为公共场所。
其中,由于一般情况下室外(例如大街上)比室内(例如家中或者办公室中)的光线强,所以可以根据拍摄待识别图像时的光的 亮度来区分待识别图像的背景场所是否为公共场所。
第二种,由终端确定待识别图像的拍摄位置,若终端在预设时间段内在该拍摄位置的停留次数小于预设次数,和/或终端在预设时间段内在该拍摄位置的停留次数小于预设时长,则确定待识别图像的背景环境为公共场所。
可以理解的是,用户一般在家里或者公司的停留次数较多且停留时间较长,而在公共场所通常只是短暂的停留,且频繁出现在一个位置的可能性较小,所以可以根据终端在待识别图像的拍摄位置的停留时间和/或停留次数来区分拍摄位置是否为公共场所。例如,如果在一周内,终端只在拍摄位置停留过两次,且每次停留的时间均小于十分钟,则可确定该拍摄位置为公共场所。
本申请实施例提供的人员查找的方法,终端在上传图像之前会对待识别图像的人脸信息以及背景环境进行筛选,只有人脸信息满足预设特征,且确定背景环境为公共场所之后,才会将待识别图像上传至服务器,避免了将大量的不包含当前需要查找的信息的图像上传至服务器,减小了网络传输开销。
另外,在本申请实施例提供的一种实现方式中,在执行图2所示的方法流程之前需事先创建目标人员信息库,且后续还需要对目标人员信息库进行更新,当服务器接收到公安库或者失踪人员家属上传的目标人员图像之后,还需要对接收到的目标人员图像进行检测,当确定目标人员图像中存在预设特征的人脸信息后,才会将目标人员图像存储在目标人员信息库中。其中,服务器具体需通过年龄识别技术检测目标人员图像中是否存在处于指定年龄区间的人脸信息,或者通过性别识别技术检测目标人员图像中是否存在指定性别的人脸信息。
或者,当服务器确定目标人员图像中存在预设特征的人脸信息,且确定目标人员图像中的背景环境为公共场所之后,才会将目标人员图像存储在目标人员信息库中。
可以理解的是,服务器检测终端发送的目标人员图像中是否存 在满足预设特征的人脸信息是为了防止终端上传错误的图像信息,导致目标人员信息库中的信息不准确。
本领域技术人员应该很容易意识到,结合本文中所公开的实施例描述的各示例的单元及算法步骤,本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行,取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能,但是这种实现不应认为超出本申请的范围。
本申请实施例可以根据上述方法示例对人员查找的装置进行功能模块的划分,例如,可以对应各个功能划分各个功能模块,也可以将两个或两个以上的功能集成在一个处理模块中。上述集成的模块既可以采用硬件的形式实现,也可以采用软件功能模块的形式实现。需要说明的是,本申请实施例中对模块的划分是示意性的,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。
在采用对应各个功能划分各个功能模块的情况下,图4示出了上述实施例中所涉及的人员查找的装置的一种可能的结构示意图,该装置包括:检测模块401,发送模块402,确定模块403。检测模块401用于支持该装置执行图2中的步骤201以及图3中的步骤2011和2012,发送模块402用于支持该装置执行图2中的步骤202,确定模块403用于支持该装置执行图2中的步骤203。其中,上述方法实施例涉及的各步骤的所有相关内容均可以援引到对应功能模块的功能描述,在此不再赘述。
在采用集成的单元的情况下,图5示出了上述实施例中所涉及的人员查找的装置的一种可能的结构示意图。该装置包括:处理模块502和通信模块503。处理模块502用于对该装置的动作进行控制管理,例如,处理模块502用于支持该装置执行图2中的步骤201、203以及图3中的步骤2011和2012,和/或用于本文所描述的技术的其它过程。通信模块503用于支持终端与其他网络实体的通信,例如与图1中示出的功能模块或网络实体之间的通信。终端还可以 包括存储模块501,用于存储终端的程序代码和数据。
其中,处理模块502可以是处理器或控制器,例如可以是中央处理器(Central Processing Unit,CPU),通用处理器,数字信号处理器(Digital Signal Processor,DSP),专用集成电路(Application-Specific Integrated Circuit,ASIC),现场可编程门阵列(Field Programmable Gate Array,FPGA)或者其他可编程逻辑器件、晶体管逻辑器件、硬件部件或者其任意组合。其可以实现或执行结合本申请公开内容所描述的各种示例性的逻辑方框,模块和电路。所述处理器也可以是实现计算功能的组合,例如包含一个或多个微处理器组合,DSP和微处理器的组合等等。通信模块503可以是通信接口、收发电路或通信接口等。存储模块501可以是存储器。
当处理模块502为处理器,通信模块503为通信接口,存储模块501为存储器时,本申请实施例所涉及的人员查找的装置如图6所示。
参阅图6所示,该装置包括:处理器602、通信接口603、存储器601以及总线604。其中,通信接口603、处理器602以及存储器601通过总线604相互连接;总线604可以是外设部件互连标准(Peripheral Component Interconnect,PCI)总线或扩展工业标准结构(Extended Industry Standard Architecture,EISA)总线等。所述总线可以分为地址总线、数据总线、控制总线等。为便于表示,图6中仅用一条粗线表示,但并不表示仅有一根总线或一种类型的总线。
结合本申请公开内容所描述的方法或者算法的步骤可以硬件的方式来实现,也可以是由处理器执行软件指令的方式来实现。软件指令可以由相应的软件模块组成,软件模块可以被存放于随机存取存储器(Random Access Memory,RAM)、闪存、只读存储器(Read OnlyMemory,ROM)、可擦除可编程只读存储器(Erasable ProgrammableROM,EPROM)、电可擦可编程只读存储器(Electrically EPROM, EEPROM)、寄存器、硬盘、移动硬盘、只读光盘(CD-ROM)或者本领域熟知的任何其它形式的存储介质中。一种示例性的存储介质耦合至处理器,从而使处理器能够从该存储介质读取信息,且可向该存储介质写入信息。当然,存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外,该ASIC可以位于核心网接口设备中。当然,处理器和存储介质也可以作为分立组件存在于核心网接口设备中。
本申请实施例还提供一种计算机程序产品,可直接加载到存储器601中,并含有软件代码,该计算机程序经由计算机载入并执行后能够实现上述的人员查找的方法。
本申请实施例还提供一种通信系统,如图7所示,该系统包括电子设备701和服务器702,其中,电子设备用于执行图2中的步骤201、202以及图3中的步骤2011、2012,服务器用于执行图2中的步骤203。在一种可能的实现方式中,电子设备701可以为机器人。
以上所述,仅为本申请的具体实施方式,但本申请的保护范围并不局限于此,任何在本申请揭露的技术范围内的变化或替换,都应涵盖在本申请的保护范围之内。因此,本申请的保护范围应所述以权利要求的保护范围为准。

Claims (14)

  1. 一种人员查找的方法,其特征在于,包括:
    由终端检测是否满足预设条件;所述预设条件包括:终端的摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息;
    若是,则将所述待识别图像发送至服务器;
    由所述服务器通过将所述待识别图像与目标人员信息库中的目标人员信息进行比较,确定所述待识别图像中是否存在目标人员。
  2. 根据权利要求1所述的人员查找的方法,其特征在于,所述由终端检测是否满足预设条件,包括:
    由所述终端通过年龄识别技术检测所述待识别图像中是否存在处于指定年龄区间的人脸信息。
  3. 根据权利要求1所述的人员查找的方法,其特征在于,所述由终端检测是否满足预设条件,包括:
    由所述终端通过性别识别技术检测所述待识别图像中是否存在指定性别的人脸信息。
  4. 根据权利要求1至3中任一项所述的人员查找的方法,其特征在于,所述预设条件还包括:
    拍摄所述待识别图像时的背景环境为公共场所。
  5. 根据权利要求4所述的人员查找的方法,其特征在于,所述方法还包括:
    由所述终端检测拍摄所述待识别图像时的背景环境光的亮度,若所述背景环境光的亮度大于预设亮度,则确定所述待识别图像的背景环境为公共场所;或者,
    由所述终端确定所述待识别图像的拍摄位置;
    若所述终端在预设时间段内在所述拍摄位置的停留次数小于预设次数,和/或所述终端在预设时间段内在所述拍摄位置的停留时间小于预设时长,则确定所述待识别图像的背景环境为公共场所。
  6. 一种人员查找的装置,其特征在于,所述装置包括:
    检测模块,用于检测是否满足预设条件;所述预设条件包括:终 端的摄像头当前拍摄的待识别图像中存在满足预设特征的人脸信息;
    发送模块,用于若所述检测模块检测到满足所述预设条件,则将所述待识别图像发送至服务器;
    确定模块,用于通过将所述待识别图像与目标人员信息库中的目标人员信息进行比较,确定所述待识别图像中是否存在目标人员。
  7. 根据权利要求6所述的人员查找的装置,其特征在于,
    所述检测模块,具体用于通过年龄识别技术检测所述待识别图像中是否存在处于指定年龄区间的人脸信息。
  8. 根据权利要求7所述的人员查找的装置,其特征在于,
    所述检测模块,具体用于通过性别识别技术检测所述待识别图像中是否存在指定性别的人脸信息。
  9. 根据权利要求6至8中任一项所述的人员查找的装置,其特征在于,所述预设条件还包括:拍摄所述待识别图像时的背景环境为公共场所。
  10. 根据权利要求9所述的人员查找的装置,其特征在于,
    所述检测模块,还用于检测拍摄所述待识别图像时的背景环境光的亮度,若所述背景环境光的亮度大于预设亮度,则确定所述待识别图像的背景环境为公共场所;或者,确定所述待识别图像的拍摄位置;若所述人员查找的装置在预设时间段内在所述拍摄位置的停留次数小于预设次数,和/或所述终端在预设时间段内在所述拍摄位置的停留时间小于预设时长,则确定所述待识别图像的背景环境为公共场所。
  11. 一种计算机存储介质,其特征在于,用于储存计算机软件指令,其包含执行权利要求1-5任一项所述的人员查找的方法所设计的程序代码。
  12. 一种计算机程序产品,其特征在于,可直接加载到计算机的内部存储器中,并含有软件代码,所述计算机程序经由计算机载入并执行后能够实现权利要求1-5任一项所述的人员查找的方法。
  13. 一种通信系统,其特征在于,所述系统包括电子设备和服务 器,所述电子设备用于执行权利要求1-5中任一项由终端执行的方法,所述服务器用于执行权利要求1中由服务器执行的方法。
  14. 根据权利要求13所述的通信系统,其特征在于,所述电子设备为机器人。
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