CN106897726A - The finding method and device of Missing Persons - Google Patents

Abstract

According to a method and device for finding a missing person provided by an embodiment of the present invention, when a user finds a suspected person, the first client sends a matching request to the server, and the matching request includes photos of the suspected person, and the server sends the suspected person’s Similarity matching is performed between the photo and the photos of the missing persons in the missing persons database, and the personal files of N missing persons whose similarity is greater than the preset threshold are sent to the first client, and the personal files of the missing persons include persons related to the missing persons Contact method, that is: similarity matching through the server, no need to manually judge the similarity of faces, and the judgment accuracy and efficiency are higher. Therefore, the search for missing persons is more efficient. Moreover, the personal files of the missing persons are stored in the missing persons database and are not made public, which ensures the information security of the family members of the missing persons and avoids fraudulent persons.

Description

Method and device for searching for missing persons

technical field

The invention relates to computer technology, in particular to a method and device for searching for missing persons.

Background technique

In daily life, it is often possible to see the disappearance of various children, the elderly, and some people with mental illness or mental retardation.

In the prior art, in order to find missing persons, it is usually by posting missing person notices, publishing missing person notices on TV, radio or the Internet, and using the current anti-abduction system to urgently spread missing person information within a preset range , to seek help from passers-by, and rescue the missing persons as soon as possible.

Yet, the mode of prior art, because people's recognition degree to face is relatively low, and, the information that receives is various, it is difficult to identify whether the population that sees is missing persons, therefore, the search for missing persons of the method of prior art The efficiency is relatively low.

Contents of the invention

In view of the above problems, the present invention provides a method and device for searching for missing persons, which are used to overcome the defect of relatively low efficiency in searching for missing persons in the prior art.

In a first aspect, the present invention provides a method for finding missing persons, including:

receiving a matching request sent by the first client, where the matching request includes at least one photo of a suspected population, and the photo includes a facial image of the suspected population;

Perform similarity matching between photos of suspected persons and photos of missing persons in the missing persons database, and determine N missing persons whose similarity is greater than a preset threshold, where N is an integer greater than or equal to 1;

Obtain the personal files of N missing persons, and the personal files contain the contact information of the persons related to the missing persons;

Send the personal files of N missing persons to the first client.

Optionally, the matching request also includes user information of the first client;

Methods also include:

The user information of the first client is sent to the second client, and the second client is a client for uploading personal files of N missing persons.

Optionally, the matching request also includes the age range of the suspected population;

Match the photos of suspected persons with the photos of missing persons in the missing persons database to determine the N missing persons whose similarity is greater than the preset threshold, including:

The similarity matching is performed between the photos of the suspected population and the photos of the missing persons in the age group in the missing persons database, and N missing persons whose similarity is greater than a preset threshold are determined.

Optionally, before receiving the matching request sent by the first client, the method further includes:

Receive the personal file of the missing person uploaded by the second client, the personal file contains the contact information of the person related to the missing person and at least one photo of the missing person, and the photo contains the facial image of the missing person;

Store missing person profiles in the Missing Persons Database.

Optionally, the personal file also includes the characteristic parts of the missing persons, and the second preset threshold of the characteristic parts;

Match the photos of suspected persons with the photos of missing persons in the missing persons database to determine the N missing persons whose similarity is greater than the preset threshold, including:

Match the photos of the suspected population with the photos of the missing persons in the missing persons database, and determine that the missing persons whose overall similarity is greater than the first preset threshold or the similarity of characteristic parts is greater than the second preset threshold are the similarities greater than the preset Threshold of missing persons.

In a second aspect, the present invention provides a device for finding missing persons, including:

The receiving module is configured to receive a matching request sent by the first client, the matching request includes at least one photo of a suspected population, and the photo includes a facial image of the suspected population;

The similarity matching module is used to perform similarity matching between photos of suspected persons and photos of missing persons in the missing persons database, and determine N missing persons whose similarity is greater than a preset threshold, where N is an integer greater than or equal to 1;

The obtaining module is used to obtain the personal files of N missing persons, and the personal files contain the contact information of the persons related to the missing persons;

A sending module, configured to send the personal files of N missing persons to the first client.

Optionally, the matching request also includes user information of the first client;

The sending module is also used to send the user information of the first client to the second client, and the second client is a client for uploading personal files of N missing persons.

Optionally, the matching request also includes the age range of the suspected population;

The similarity matching module is specifically used to perform similarity matching between photos of suspected persons and photos of missing persons in age groups in the missing persons database, and determine N missing persons whose similarities are greater than a preset threshold.

Optionally, the receiving module is also used to receive the personal file of the missing person uploaded by the second client, the personal file contains the contact information of the person related to the missing person and at least one photo of the missing person, and the photo contains the face of the missing person Image; stores missing person profiles in the missing persons database.

Optionally, the personal file also includes the characteristic parts of the missing persons, and the second preset threshold of the characteristic parts;

The similarity matching module is specifically used to perform similarity matching between photos of suspected persons and photos of missing persons in the missing persons database, and determine missing persons whose overall similarity is greater than the first preset threshold or whose characteristic parts similarity is greater than the second preset threshold. The population is the missing population whose similarity is greater than the preset threshold.

According to the method and device for finding missing persons provided by the embodiments of the present invention, when a user finds a suspected person, the first client sends a matching request to the server, and the matching request includes photos of the suspected person, and the server combines the photo of the suspected person with the Similarity matching is performed on photos of missing persons in the missing persons database, and the personal files of N missing persons whose similarity is greater than the preset threshold are sent to the first client, and the personal files of missing persons contain contacts of persons related to the missing persons The method, that is, the similarity matching is performed through the server without manually judging the similarity of faces, and the judgment accuracy and efficiency are higher. Therefore, the search for missing persons is more efficient. In addition, the personal files of the missing persons are stored in the missing persons database and are not made public, which ensures the information security of the missing persons' family members and avoids fraudulent persons.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings on the premise of not paying creative efforts.

Fig. 1 is the schematic diagram of the search system for missing persons of the present invention;

Fig. 2 is a schematic flow chart of Embodiment 1 of the method for finding missing persons in the present invention;

Fig. 3 is a schematic diagram of interface 1 of the photo upload interface of the suspected population of the first client of the present invention;

Fig. 4 is a schematic diagram of interface 2 of the photo upload interface of the suspected population of the first client of the present invention;

Fig. 5 is a schematic flow chart of Embodiment 2 of the method for finding missing persons according to the present invention;

FIG. 6A is a schematic flowchart of Embodiment 3 of the method for finding missing persons in the present invention;

FIG. 6B is a schematic flowchart of Embodiment 4 of the method for finding missing persons in the present invention;

Fig. 7 is a structural schematic diagram of an embodiment of the device for finding missing persons of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a particular order or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can, for example, be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

Fig. 1 is the schematic diagram of the searching system of missing persons of the present invention, as shown in Fig. 1, comprises: client and server, server can be a computer, and server includes: missing persons database, similarity matching module, communicate with client The receiving module and sending module, etc., the client refers to the application program installed on the electronic device, the electronic device can be a mobile phone or tablet, etc., the client includes: upload module, the upload module can be used to upload personal files of missing persons to the server It is also possible to upload photos of suspected population to the server. For the convenience of description, the client used by the user who uploads the personal file of the missing person is called the second client, and the client used by the user who uploads the photo of the suspected population is referred to as the second client The terminal is called the first client. It can be understood that the first client and the second client may be two independent application programs, or one application program may have two functions, which is not limited in the present invention.

The present invention uploads the personal file of the missing person to the server through the second client, sends a matching request containing photos of the suspected population to the server through the first client, and the server matches the photo of the suspected population with the missing person in the missing person database of the server Similarity matching is performed on the photos, and the feedback is sent to the client according to the matching results. Therefore, there is no need to manually judge the similarity of faces, and the judgment accuracy and efficiency are higher. Therefore, the search for missing persons is more efficient. In addition, the personal files of the missing persons are stored in the missing persons database and are not made public, which ensures the information security of the missing persons' family members and avoids fraudulent persons.

The technical solution of the present invention will be described in detail below with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

Fig. 2 is a schematic flow chart of Embodiment 1 of the method for finding missing persons in the present invention, the method of this embodiment is executed by the server, and the method of this embodiment is as follows:

S201: Receive a matching request sent by a first client.

Wherein, the matching request includes at least one photo of the suspected population, and the photo includes a facial image of the suspected population.

When a user finds a suspected population, the suspected population refers to a person who looks like a missing person, such as a child begging on the side of the road, an elderly person with abnormal behavior, a child showing a helpless expression, or a person sending a distress signal; when the user finds When a suspected population is suspected, the photo of the suspected population is obtained through the camera function of the electronic device, and the facial image of the suspected population must be captured in the photo. In view of this, parents can also educate their children that in the case of loss or trafficking, they can find a way to let others take pictures of their faces to hint that they need to seek help, so as to increase the chance of rescue.

When a user obtains a photo of a suspected population, the user uses the photo upload interface provided by the first client to encapsulate the photo of the suspected population into a matching request and send it to the server, so as to request a matching request with the missing persons in the server's missing persons database. Photos for similarity matching. Fig. 3 is a schematic diagram of interface 1 of the photo upload interface of the first client of the present invention, the client can access the photo album or camera of the user's electronic device, upload the photos that have been taken, or use the camera to take pictures now, There can be one or more uploaded photos, which is not limited by the present invention. After the server receives the matching request containing the photo of the suspected population sent by the first client, S203 is executed.

S203: Perform similarity matching between the photos of the suspected persons and the photos of the missing persons in the missing persons database, and determine N missing persons whose similarities are greater than a preset threshold.

Wherein, N is an integer greater than or equal to 1.

The missing persons database stores the personal files of the missing persons uploaded through the second client. The personal files of the missing persons contain the contact information of the persons related to the missing persons and at least one photo of the missing persons, which contains the facial images of the missing persons. .

Using photo similarity matching algorithm, for example: Scale-invariant feature transform (Scale-invariant feature transform, referred to as: SIFT), similarity matching is performed between the facial images of suspected population and the facial images of missing population in the database, and the similarity is determined to be greater than N missing persons with a preset threshold, where the preset threshold can be obtained based on big data analysis, such as: the similarity of photos of the same person in different months is usually above 90%, so they may be the same person, then set the preset threshold 90%. Identify missing persons with a similarity greater than 90% from the missing persons database. If the similarities of the matching results are all less than the preset threshold, then sending no matching missing persons to the first client.

Because some people have some characteristic parts, such as: the nose is very long, if there is a nose with a very high similarity with it, it may be the same person, therefore, the personal files also include the characteristic parts of the missing persons and the characteristic parts. The second preset threshold: Match the photos of suspected persons with the photos of missing persons in the missing persons database for similarity matching, and determine the missing persons whose overall similarity is greater than the first preset threshold or the similarity of characteristic parts is greater than the second preset threshold are missing persons whose similarity is greater than the preset threshold. For example: the first preset threshold is 90%, the feature part is the nose, and the second preset threshold corresponding to the feature part is 80%, assuming that the overall similarity between the photos of the suspected population and the photos of the missing people is greater than 90%, or, the suspected If the feature parts similarity between the photo of the population and the photo of the missing person is greater than 80%, the missing person is considered to be a missing person whose similarity is greater than a preset threshold.

In order to improve the matching efficiency, if the age group of the suspected population can be estimated, when uploading photos of the suspected population through the first client, the matching age group can also be set, as shown in Figure 4, which is the first method of the present invention. Schematic diagram of interface 2 of the upload interface for photos of suspected population on the client side. The matching request includes the age group of the suspected population, and then the photos of the suspected population will be matched with the photos of the missing persons in the mulberry age group in the missing persons database to determine the similarity. N missing persons whose degree is greater than the preset threshold.

S205: Obtain personal files of N missing persons.

Among them, the personal file contains the contact information of the persons related to the missing persons.

Through the steps of S203, N missing persons are determined, and the personal files of the above N missing persons are obtained from the missing persons database, and then the contact information of the persons related to the missing persons is obtained. The persons related to the missing persons usually refer to the family members of the missing persons, Also can be its friend or teacher etc., to this, the present invention does not make limitation.

S207: Send the personal files of the N missing persons to the first client.

After receiving the personal files of the N missing persons, the first client contacts the related persons according to the contact information of the related persons of the missing persons in the personal files, so as to assist in early rescue of the missing persons.

In this embodiment, when the user finds a suspected population, the first client sends a matching request to the server, and the matching request includes photos of the suspected population, and the server compares the photos of the suspected population with the photos of the missing persons in the missing persons database. Similarity matching, sending the personal files of N missing persons whose similarity is greater than the preset threshold to the first client. The personal files of the missing persons contain the contact information of the persons related to the missing persons, that is, similarity matching is performed through the server , there is no need to manually judge the similarity of faces, and the judgment accuracy and efficiency are higher. Therefore, the search for missing persons is more efficient. In addition, the personal files of the missing persons are stored in the missing persons database and are not made public, which ensures the information security of the missing persons' family members and avoids fraudulent persons.

FIG. 5 is a schematic flow chart of Embodiment 2 of the method for finding missing persons in the present invention. FIG. 5 is based on the method embodiment shown in FIG. 2 , and the matching request also includes user information of the first client. It also includes S209, the execution order of S209 and S207 is not limited, either S207 or S209 can be executed first, or both can be executed at the same time:

S209: Send the user information of the first client to the second client.

Wherein, the second client is a client that uploads personal files of N missing persons.

The user information of the first client may include the name and phone number of the user of the first client.

In this embodiment, by sending the user information of the first client to the second client, the user of the second client can directly contact the first client to learn more detailed information, so as to improve the missing persons information. rescue efficiency.

Fig. 6A is a schematic flowchart of Embodiment 3 of the method for finding missing persons in the present invention, and Fig. 6B is a schematic flowchart of Embodiment 4 of the method for searching for missing persons in the present invention. Fig. 6A is based on the method embodiment shown in Fig. 2 . 6B is further based on the method embodiment shown in FIG. 5, and before S201, it also includes: the step of establishing a missing persons database, as shown in S200a and S200b:

S200a: Receive the personal file of the missing person uploaded by the second client.

Among them, the personal file contains the contact information of the person related to the missing person and at least one photo of the missing person, and the photo contains the facial image of the missing person.

The user can establish the personal file of the missing person through the second client in advance, in case of emergency, especially the personal file of the child.

A possible implementation method is: store the personal file locally on the second client, and upload the personal file of the missing person to the server after a missing event occurs;

Another possible implementation method is: upload the personal file of the missing person to the server in advance, which is disabled by default, and activate the personal file of the missing person after a missing event occurs. The server receives the personal file of the missing person uploaded by the second client.

S200b: Store the personal file of the missing person in the missing person database.

If S200a adopts the former implementation method, the server stores the personal files of the missing persons in the missing person database, and all the personal files of the missing persons in the missing person database can be used as matching samples.

If S200a adopts the latter implementation method, the server stores the personal file of the missing person in the missing person database, and marks the status as invalid, and after the second client activates the personal file of the missing person, the status is changed to valid Status, personal files of missing persons who are in a valid state in the missing persons database can be used as matching samples.

In this embodiment, the personal file of the missing person is uploaded to the server through the second client, and the server stores the personal file of the missing person in the database of the missing person, so that the personal files of the missing person can be concentrated in the same database, It is convenient to match with suspected persons and improve the probability of successful rescue of missing persons.

After the missing person is rescued, the second client can also send information to the server to delete the personal file of the missing person, or send the information to the server to invalidate the information of the personal file of the missing person, so as to reduce the number of missing persons in the database. The number of matching missing persons, improving matching efficiency.

Fig. 7 is a schematic structural diagram of an embodiment of a device for finding missing persons in the present invention. The device of this embodiment includes: a receiving module 701, a similarity matching module 703, an obtaining module 705, and a sending module 707, wherein the receiving module 701 is used to receive the first A matching request sent by a client, the matching request includes at least one photo of a suspected population, and the photo includes a facial image of the suspected population; the similarity matching module 703 is used to compare the photos of the suspected population with the missing persons in the missing persons database Similarity matching is performed on photos to determine N missing persons whose similarity is greater than a preset threshold, N is an integer greater than or equal to 1; the acquisition module 705 is used to obtain personal files of N missing persons, and the personal files include persons related to the missing persons The contact information; the sending module 707 is used to send the personal files of the N missing persons to the first client.

In the embodiment shown in FIG. 7, the age group of the suspected population is also included in the matching request;

The similarity matching module 703 is specifically configured to perform similarity matching between photos of suspected persons and photos of missing persons in age groups in the missing persons database, and determine N missing persons whose similarities are greater than a preset threshold.

In the embodiment shown in Figure 7, the personal file also includes the characteristic parts of the missing persons, and the second preset threshold of the characteristic parts;

The similarity matching module 703 is specifically used to perform similarity matching between photos of suspected persons and photos of missing persons in the missing persons database, and determine that the overall similarity is greater than the first preset threshold or the similarity of characteristic parts is greater than the second preset threshold. Missing persons are missing persons whose similarity is greater than the preset threshold.

The device in this embodiment can be correspondingly used to execute the technical solution of the method embodiment shown in FIG. 2 , and its implementation principle and technical effect are similar, and will not be repeated here.

In the embodiment shown in FIG. 7 , the matching request also includes the user information of the first client; the sending module 707 is also used to send the user information of the first client to the second client, and the second client uploads N missing Demographic profiles of clients.

The device of this embodiment can be correspondingly used to implement the technical solution of the method embodiment shown in FIG. 5 , and its implementation principle and technical effect are similar, and details are not repeated here.

In the embodiment shown in Figure 7, the receiving module 701 is also used to receive the personal file of the missing person uploaded by the second client, the personal file contains the contact information of the person related to the missing person and at least one photo of the missing person, the photo Contains facial images of missing persons; stores personal files of missing persons in the missing persons database.

The device of this embodiment can be correspondingly used to implement the technical solution of the method embodiment shown in FIG. 6 , and its implementation principle and technical effect are similar, and details are not repeated here.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (10)

1. a kind of finding method of Missing Persons, it is characterised in that including：

The matching request of the first client transmission is received, at least one doubtful people is included in the matching request The photo of mouth, the face-image comprising the doubtful population in the photo；

The photo of the doubtful population and the photo of the Missing Persons in Missing Persons' database are carried out similar Degree matching, determines N number of Missing Persons of the similarity more than predetermined threshold value, and the N is more than or equal to 1 Integer；

The Profile of N number of Missing Persons is obtained, the pass comprising Missing Persons in the Profile It is the contact method of personnel；

The Profile of N number of Missing Persons is sent to first client.

2. method according to claim 1, it is characterised in that institute is also included in the matching request State the user profile of the first client；

Methods described also includes：

The user profile of first client is sent to the second client, second client is upper Pass the client of the Profile of N number of Missing Persons.

3. method according to claim 2, it is characterised in that also include doubting in the matching request Like the age bracket of population；

The photo of the Missing Persons in the photo by the doubtful population and Missing Persons' database is carried out Similarity mode, determines N number of Missing Persons of the similarity more than predetermined threshold value, including：

By the Missing Persons' of the age bracket in the photo of the doubtful population and Missing Persons' database Photo carries out similarity mode, determines N number of Missing Persons of the similarity more than predetermined threshold value.

4. method according to claim 3, it is characterised in that the client of the reception first sends Matching request before, methods described also includes：

The Profile of the Missing Persons of the second client upload is received, comprising described in the Profile The contact method of the relation personnel of Missing Persons and at least one photo of the Missing Persons, the photo In comprising the Missing Persons face-image；

The Profile of the Missing Persons is stored in Missing Persons' database.

5. method according to claim 4, it is characterised in that also include institute in the Profile State the characteristic portion of Missing Persons, and the characteristic portion the second predetermined threshold value；

The photo of the Missing Persons in the photo by the doubtful population and Missing Persons' database is carried out Similarity mode, determines N number of Missing Persons of the similarity more than predetermined threshold value, including：

The photo of the doubtful population and the photo of the Missing Persons in Missing Persons' database are carried out similar Degree matching, determines that overall similarity is pre- more than second more than the first predetermined threshold value or characteristic portion similarity If the Missing Persons of threshold value are Missing Persons of the similarity more than predetermined threshold value.

6. a kind of device for searching of Missing Persons, it is characterised in that including：

Receiver module, for receiving the matching request that the first client sends, includes in the matching request At least one photo of doubtful population, the face-image comprising the doubtful population in the photo；

Similarity mode module, for by the mistake in the photo of the doubtful population and Missing Persons' database The photo of track population carries out similarity mode, determines N number of Missing Persons of the similarity more than predetermined threshold value, The N is the integer more than or equal to 1；

Acquisition module, the Profile for obtaining N number of Missing Persons is wrapped in the Profile The contact method of the relation personnel containing Missing Persons；

Sending module, for the Profile of N number of Missing Persons to be sent into first client.

7. device according to claim 6, it is characterised in that institute is also included in the matching request State the user profile of the first client；

The sending module is additionally operable to for the user profile of first client to be sent to the second client, Second client is the client of the Profile for uploading N number of Missing Persons.

8. device according to claim 7, it is characterised in that also include doubting in the matching request Like the age bracket of population；

The similarity mode module is specifically for by the photo of the doubtful population and Missing Persons' database In the photo of Missing Persons of the age bracket carry out similarity mode, determine that similarity is more than default threshold N number of Missing Persons of value.

9. device according to claim 8, it is characterised in that the receiver module is additionally operable to receive The Profile of the Missing Persons of the second client upload, includes the Missing Persons in the Profile Relation personnel contact method and at least one photo of the Missing Persons, in the photo include institute State the face-image of Missing Persons；The Profile of the Missing Persons is stored in Missing Persons' number According in storehouse.

10. device according to claim 9, it is characterised in that also include in the Profile The characteristic portion of the Missing Persons, and the characteristic portion the second predetermined threshold value；

The similarity mode module is specifically for by the photo of the doubtful population and Missing Persons' database In the photo of Missing Persons carry out similarity mode, determine overall similarity more than the first predetermined threshold value or Person's characteristic portion similarity is more than the mistake of predetermined threshold value more than the Missing Persons of the second predetermined threshold value for similarity Track population.