CN109145884B - Method, device, terminal and computer-readable storage medium for searching target person - Google Patents
Method, device, terminal and computer-readable storage medium for searching target person Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device, a terminal and a computer readable storage medium for searching a target person, wherein the method comprises the steps of identifying a collected facial image of the target person; extracting facial feature data in a facial image of a target person; acquiring at least one key photo from a picture database according to the facial feature data; the key photo comprises a face image of a target person and face images of other persons; screening out at least one related person from the face images of other persons in the key group photo; and searching the related information of the target person by using the information of the related persons. By searching for the group photo including the target person, the associated person possibly related to the target person can be quickly and effectively found. And the related information of the target person can be searched in an auxiliary manner according to the personal information of the associated person, so that the time for searching the target person is saved.
Description
Technical Field
The present invention relates to the field of face recognition technologies, and in particular, to a method, an apparatus, a terminal, and a computer-readable storage medium for searching for a target person.
Background
In the prior art, it is difficult to search for a target person with less collected related information. Often the gathered clues are not available to find the target person, thereby interrupting the direction of the query. For example, in some crime scenes, the suspect works alone and the working place is remote, and the surrounding equipment for collecting the images is few, so that the number of images of the suspect which can be collected is few, and useful clues related to the suspect are difficult to find in the existing database according to a small number of collected images.
The above information disclosed in the background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is known to a person of ordinary skill in the art.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a terminal and a computer readable storage medium for searching a target person, which are used for solving one or more technical problems in the prior art.
In a first aspect, an embodiment of the present invention provides a method for searching for a target person, including:
identifying the collected face image of the target person;
extracting facial feature data in the facial image of the target person;
acquiring at least one key photo from a picture database according to the facial feature data; wherein the key photos comprise the face images of the target person and the face images of other persons;
screening out at least one related person from the face images of the other persons in the key group photo;
and searching the related information of the target person by using the information of the related persons.
In one embodiment, obtaining at least one key photo from a photo database based on the facial feature data comprises:
screening a group photo set from the picture database, wherein the group photo set comprises a plurality of group photos, and each person in the group photo has preset facial feature data;
matching the facial feature data of the target person with preset facial feature data of each person in each photo;
and if the matching is successful, screening the matched co-photos as the key co-photos.
In one embodiment, the screening out at least one associated person from the face images of the other persons in the key group photo comprises:
identifying a facial image of each of the other people in the key compilation;
matching the facial images of the other people with pre-stored facial images in a facial database;
and if the matching is successful, screening other successfully matched people as the associated people.
In one embodiment, when the key photo is multiple, screening out at least one related person from the key photo according to the facial images of the other persons in the key photo includes:
identifying a face image of each of the other persons in each of the key photographs;
and aggregating the facial images of all the other people, and acquiring the other people with the occurrence frequency higher than a threshold value as the associated people.
In a second aspect, an embodiment of the present invention provides an apparatus for finding a target person, including:
the face recognition module is used for recognizing the acquired face image of the target person;
the facial feature extraction module is used for extracting facial feature data in the facial image of the target person;
the acquisition module is used for acquiring at least one key photo from a picture database according to the facial feature data; wherein the key photos comprise the face images of the target person and the face images of other persons;
the incidence relation module is used for screening out at least one incidence person from the face images of the other persons in the key group photo;
and the searching module is used for searching the related information of the target person by utilizing the information of the related person.
In one embodiment, the obtaining module comprises:
the screening submodule is used for screening a group photo set from the picture database, the group photo set comprises a plurality of group photos, and each figure in the group photo has preset facial feature data;
a first matching sub-module, configured to match the facial feature data of the target person with preset facial feature data of each person in each of the photos; and if the matching is successful, screening the matched co-photos as the key co-photos.
In one embodiment, the association relationship module includes:
a first identifying sub-module for identifying the face image of each of the other persons in the key pool;
the second matching sub-module is used for matching the facial images of the other people with the pre-stored facial images in the facial database; and if the matching is successful, screening other successfully matched people as the associated people.
In one embodiment, when the key photos are multiple, the association relation module includes:
a second identifying sub-module for identifying the face image of each of the other persons in each of the key photographs;
and the third matching sub-module is used for aggregating the facial images of all the other people and acquiring the other people with the occurrence frequency higher than the threshold value as the associated people.
In a third aspect, an embodiment of the present invention provides a terminal for searching for a target person, including:
the functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above-described functions.
In one possible design, the structure of the terminal for finding a target person includes a processor and a memory, the memory is used for storing a program supporting the terminal for finding a target person to execute the method for finding a target person in the first aspect, and the processor is configured to execute the program stored in the memory. The terminal for searching the target person can also comprise a communication interface, and the terminal for searching the target person is used for communicating with other equipment or a communication network.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium for storing computer software instructions for a terminal for finding a target person, where the computer software instructions include a program for executing the method for finding a target person in the first aspect to find a terminal for finding a target person.
One of the above technical solutions has the following advantages or beneficial effects: by searching for the group photo including the target person, the associated person possibly related to the target person can be quickly and effectively found. And the related information of the target person can be searched in an auxiliary manner according to the personal information of the associated person, so that the time for searching the target person is saved.
The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present invention will be readily apparent by reference to the drawings and following detailed description.
Drawings
In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
Fig. 1 is a flowchart of a method for finding a target person according to an embodiment of the present invention.
Fig. 2 is a detailed flowchart of step S300 of the method for finding a target person according to the embodiment of the present invention.
Fig. 3 is a detailed flowchart of step S400 of the method for finding a target person according to the embodiment of the present invention.
Fig. 4 is a flowchart illustrating a step S400 of a method for finding a target person according to another embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a device for finding a target person according to an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an acquisition module according to an embodiment of the present invention.
Fig. 7 is a schematic structural diagram of an association relationship module according to an embodiment of the present invention.
Fig. 8 is a schematic structural diagram of an association relationship module according to another embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a target person searching terminal according to an embodiment of the present invention.
Detailed Description
In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.
The embodiment of the invention provides a method for searching a target person, which comprises the following steps as shown in figure 1:
s100: the captured facial image of the target person is identified. The acquired face images may be a plurality of face images, that is, images acquired by different acquiring devices at different time and places.
S200: facial feature data in a face image of a target person is extracted. The facial feature data is used to represent the face information of the target person, and an image (photo or video) having the target person can be found according to the extracted facial feature data.
S300: acquiring at least one key photo from a picture database according to the facial feature data; the key photo comprises a face image of a target person and face images of other persons, and the key photo comprises at least two persons. The picture database may be a database provided by any data source in the prior art. The picture database can comprise multiple photos and single photos. Preferably, a picture database with only multiple-person photos can be used to improve the efficiency of screening key photos.
S400: and screening out at least one related person from the face images of other persons in the key photo.
S500: and searching the related information of the target person by using the information of the related persons. It is understood that some information of the associated persons is used as clues through which more related information related to the target person can be found. It can also be understood that the associated person is found according to the personal information of the associated person, and more related information about the target person is obtained through the associated person. So as to increase the probability of finding the target person.
In one embodiment, when a plurality of face images of the target person are captured, each face image may be selected and used to select a face image from which the most facial features can be extracted. Or the facial feature data of each facial image are respectively extracted and aggregated to form more accurate facial feature data representing the face information of the target person.
In one embodiment, as shown in fig. 2, obtaining at least one key photo from the photo database according to the facial feature data includes:
s310: and screening a group photo set from the picture database, wherein the group photo set comprises a plurality of group photos, and each person in the group photo has preset facial feature data. When a group photo set of the picture database is established, the faces of all people in each stored group photo are identified, facial feature data corresponding to the faces of all people are extracted to serve as preset facial feature data, and the preset facial feature data are associated to the group photo.
S320: and matching the facial feature data of the target person with preset facial feature data of each person in each photo. And if the matching is successful, screening the matched co-photos as key co-photos. Namely, the selected photos with the target characters can be used as key photos.
It should be noted that, if the key photos with the target character are too many, the key photos can be screened according to some customized rules, and the key photos that meet the requirements better are selected. For example, the custom rule is the photo taking time, place, people relationship in the photo, and the like as the screening index.
In one embodiment, as shown in fig. 3, the screening out at least one related person from the face images of other persons in the key group photo comprises:
s410: the face images of each of the other people in the key pool are identified.
S420: matching the facial images of other people with pre-stored facial images in a facial database; and if the matching is successful, screening other successfully matched people as the associated people. Wherein, each pre-stored face image in the face database contains the relevant information of the corresponding person. Since each person in the key photo is not always able to find the corresponding personal information, it is necessary to perform screening through the face database.
In one embodiment, as shown in fig. 4, when the key photo is multiple, the screening out at least one related person from the key photo according to the face images of other persons in the key photo includes:
s430: the face images of each other person in each key shot are identified.
S440: and aggregating the facial images of all other people, and acquiring other people with the occurrence frequency higher than a threshold value as the associated people. I.e., the same person appears in multiple key photos with the target person, the likelihood that the person is associated with the target person may be considered greater. By the frequency of occurrence, more main associated people can be quickly and effectively screened out, so that the possibility of finding the related information of the target people is increased.
An embodiment of the present invention provides a device for finding a target person, as shown in fig. 5, including:
and the face recognition module 10 is used for recognizing the acquired face image of the target person.
A facial feature extraction module 20 for extracting facial feature data in the facial image of the target person.
An obtaining module 30, configured to obtain at least one key photo from the picture database according to the facial feature data; the key photo includes a face image of a target person and face images of other persons.
And the association relation module 40 is used for screening out at least one associated person from the face images of other persons in the key group photo.
And the searching module 50 is used for searching the related information of the target person by using the information of the related persons.
In one embodiment, as shown in fig. 6, the obtaining module 30 includes:
and the screening submodule 310 is configured to screen a group photo set from the picture database, where the group photo set includes a plurality of group photos, and each person in the group photo has preset facial feature data.
A first matching sub-module 320 for matching the facial feature data of the target person with preset facial feature data of each person in each photo; and if the matching is successful, screening the matched co-photos as the key co-photos.
In one embodiment, as shown in FIG. 7, the association relationship module 40 includes:
a first recognition sub-module 410 for recognizing the face images of the other persons in the key pool.
And a second matching sub-module 420 for matching the face images of the other persons with the pre-stored face images in the face database. And if the matching is successful, screening other successfully matched people as the associated people.
In one embodiment, as shown in fig. 8, when there are a plurality of key photos, the association relation module 40 includes:
a second identifying sub-module 430 for identifying the face images of each of the other persons in each of the key photographs.
And the third matching sub-module 440 is configured to aggregate the face images of all the other persons, and acquire the other persons with the occurrence frequency higher than the threshold as the associated persons.
An embodiment of the present invention provides a terminal for searching for a target person, as shown in fig. 9, including:
a memory 910 and a processor 920, the memory 910 having stored therein computer programs operable on the processor 920. The processor 920 implements the method for finding a target person in the above embodiments when executing the computer program. The number of the memory 910 and the processor 920 may be one or more.
A communication interface 930 for the memory 910 and the processor 920 to communicate with the outside.
If the memory 910, the processor 920 and the communication interface 930 are implemented independently, the memory 910, the processor 920 and the communication interface 930 may be connected to each other through a bus and perform communication with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 9, but this does not indicate only one bus or one type of bus.
Optionally, in an implementation, if the memory 910, the processor 920 and the communication interface 930 are integrated on a chip, the memory 910, the processor 920 and the communication interface 930 may complete communication with each other through an internal interface.
The embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and when the program is executed by a processor, the computer program implements any one of the methods for finding a target person according to the embodiment one included in the present invention.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps, methods, apparatuses or modules may be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a computer readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present invention, and these should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for finding a target person, comprising:
identifying the collected face image of the target person;
extracting facial feature data in the facial image of the target person;
acquiring at least one key photo from a picture database according to the facial feature data; wherein the key photos comprise the face images of the target person and the face images of other persons;
matching the facial images of the other people in the key group photo with all pre-stored facial images in a facial database, and screening out at least one associated person from other people who are successfully matched; each pre-stored facial image in the facial database comprises personal information of corresponding people;
and searching the related information of the target person by utilizing the personal information of the related persons, wherein the related information is used for finding the target person.
2. The method of claim 1, wherein obtaining at least one key photo from a picture database based on the facial feature data comprises:
screening a group photo set from the picture database, wherein the group photo set comprises a plurality of group photos, and each person in the group photo has preset facial feature data;
matching the facial feature data of the target person with preset facial feature data of each person in each photo;
and if the matching is successful, screening the matched co-photos as the key co-photos.
3. The method of claim 1, wherein matching the face images of the other people in the key compilation to respective pre-stored face images in a face database, and screening at least one associated person from the other people who successfully match comprises:
identifying a facial image of each of the other people in the key compilation;
matching the facial images of the other people with pre-stored facial images in a facial database;
and if the matching is successful, screening other successfully matched people as the associated people.
4. The method of claim 1, wherein when the key photo is multiple, matching the face images of the other people in the key photo with each pre-stored face image in a face database, and selecting at least one associated person from the other people who successfully match, further comprising:
identifying a face image of each of the other persons in each of the key photographs;
and aggregating the facial images of all the other people, and acquiring the other people with the occurrence frequency higher than a threshold value as the associated people.
5. An apparatus for finding a target person, comprising:
the face recognition module is used for recognizing the acquired face image of the target person;
the facial feature extraction module is used for extracting facial feature data in the facial image of the target person;
the acquisition module is used for acquiring at least one key photo from a picture database according to the facial feature data; wherein the key photos comprise the face images of the target person and the face images of other persons;
the incidence relation module is used for matching the face images of the other people in the key group photo with all pre-stored face images in a face database and screening out at least one incidence person from other people successfully matched; each pre-stored facial image in the facial database comprises personal information of corresponding people;
and the searching module is used for searching the related information of the target person by utilizing the personal information of the associated person, and the related information is used for finding the target person.
6. The apparatus of claim 5, wherein the acquisition module comprises:
the screening submodule is used for screening a group photo set from the picture database, the group photo set comprises a plurality of group photos, and each figure in the group photo has preset facial feature data;
a first matching sub-module, configured to match the facial feature data of the target person with preset facial feature data of each person in each of the photos; and if the matching is successful, screening the matched co-photos as the key co-photos.
7. The apparatus of claim 5, wherein the association relationship module comprises:
a first identifying sub-module for identifying the face image of each of the other persons in the key pool;
the second matching sub-module is used for matching the facial images of the other people with the pre-stored facial images in the facial database; and if the matching is successful, screening other successfully matched people as the associated people.
8. The apparatus of claim 5, wherein when the key photos are multiple, the incidence relation module comprises:
a second identifying sub-module for identifying the face image of each of the other persons in each of the key photographs;
and the third matching sub-module is used for aggregating the facial images of all the other people and acquiring the other people with the occurrence frequency higher than the threshold value as the associated people.
9. A terminal for searching a target person is characterized by comprising:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-4.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 4.
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| CN103593598A (en) * | 2013-11-25 | 2014-02-19 | 上海骏聿数码科技有限公司 | User online authentication method and system based on living body detection and face recognition |
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