CN112218046B

CN112218046B - Object monitoring method and device

Info

Publication number: CN112218046B
Application number: CN202011031990.7A
Authority: CN
Inventors: 梁晨华
Original assignee: Hangzhou Hikvision System Technology Co Ltd
Current assignee: Hangzhou Hikvision System Technology Co Ltd
Priority date: 2020-09-27
Filing date: 2020-09-27
Publication date: 2023-10-24
Anticipated expiration: 2040-09-27
Also published as: CN112218046A

Abstract

The embodiment of the application provides an object monitoring method and device, wherein the method comprises the following steps: and determining identity information of at least two dimensions of the monitoring object as identity information to be compared. A monitoring range for the monitored object is determined. Receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points. If the comparison result is that the comparison is successful, the monitored object is determined to be monitored, wherein the comparison success is that the identity information to be compared in any dimension is successfully compared. According to the application, the monitoring of the monitored object is realized based on the identity information of multiple dimensions, and the efficiency and the success rate of monitoring the monitored object are effectively improved.

Description

Object monitoring method and device

Technical Field

The embodiment of the application relates to the field of security and protection, in particular to an object monitoring method and device.

Background

In the security field, when a person or a class of persons needs to be monitored, it is often necessary to monitor whether the person or class of persons is present at a monitoring site.

Currently, in the prior art, when monitoring personnel, because personnel data is usually stored in a plurality of systems, monitoring is usually performed based on data with a single dimension, for example, the personnel data is compared with photos of the personnel stored in the systems and photos of faces snapped at various locations, so as to determine the location where the personnel appear.

However, monitoring personnel based on data in a single dimension may result in low efficiency and success rate of monitoring personnel.

Disclosure of Invention

The embodiment of the application provides an object monitoring method and device, which are used for improving the monitoring efficiency and success rate.

In a first aspect, an embodiment of the present application provides an object monitoring method, which is applied to an object monitoring system, including:

determining identity information of at least two dimensions of a monitoring object as identity information to be compared;

determining a monitoring range of the monitoring object;

receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in the monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information with the same dimension, wherein the identity information is acquired at the track points;

If the comparison result is that the comparison is successful, determining that the monitoring object is monitored; and the successful comparison is successful in comparing the identity information to be compared in any dimension.

In one possible design, the monitoring object is an individual object; the determining identity information of at least two dimensions of the monitoring object as identity information to be compared comprises:

receiving input identity information of a first dimension;

receiving identity information of at least one second dimension recommended by the object monitoring system according to the identity information of the first dimension;

and determining the identity information of the first dimension and the identity information of at least one second dimension as the identity information to be compared.

In one possible design, the monitoring object is an individual object; the determining the monitoring range of the monitoring object comprises the following steps:

receiving a place to be monitored recommended by the object monitoring system according to the identity information to be compared;

and determining the monitoring range of the monitored object according to the place to be monitored.

In one possible design, the monitoring object is a group object; the determining identity information of at least two dimensions of the monitoring object as identity information to be compared comprises:

Receiving an input group type of the monitoring object as a group type to be monitored;

receiving identity information of at least one object to be monitored, which is recommended by the object monitoring system according to the group type to be monitored;

and determining the identity information of at least one object to be monitored as identity information to be compared.

In one possible design, the monitoring object is a group object; the determining the monitoring range of the monitoring object comprises the following steps:

receiving a place to be monitored recommended by the object monitoring system according to the group type to be monitored;

In a second aspect, an embodiment of the present application provides an object monitoring method, applied to an object monitoring system, where the method includes:

receiving indication information input into the object monitoring system, wherein the indication information is used for indicating identity information of a monitored object or group types of the monitored object;

according to the indication information, determining and recommending the identity information associated with the monitoring object, wherein the associated identity information is used for determining the identity information to be compared of the monitoring object by the object monitoring system;

And determining and recommending the location to be monitored associated with the monitored object according to the identity information to be compared, wherein the associated location to be monitored is used for determining the monitoring range of the monitored object by the object monitoring system.

In one possible design, the monitoring object is an individual object, and the indication information includes identity information of a first dimension of the monitoring object; the step of determining and recommending the identity information associated with the monitoring object according to the indication information comprises the following steps:

and determining and recommending the identity information of at least one second dimension associated with the identity information of the first dimension from the multi-dimensional identity information stored in the object monitoring system according to the identity information of the first dimension input into the object monitoring system.

In one possible design, the monitoring object is an individual object; the determining and recommending the to-be-monitored place associated with the monitored object according to the to-be-compared identity information comprises the following steps:

determining target track point data with the identity information to be compared from the multidimensional track point data stored in the object monitoring system;

and recommending the track points in the target track point data as the to-be-monitored places.

In one possible design, the monitoring object is a group object, and the indication information is a group type to be monitored; the step of determining and recommending the identity information to be compared of the monitoring object according to the indication information comprises the following steps:

determining and recommending identity information of at least one object belonging to the group type to be monitored from the multi-dimensional identity information stored in the object monitoring system according to the group type to be monitored input into the object monitoring system; the group type to be monitored is the group type to which the monitored object belongs.

In one possible design, the monitoring object is a group object; the indication information is the group type to be monitored; the determining and recommending the to-be-monitored place associated with the monitored object according to the to-be-compared identity information comprises the following steps:

determining and recommending a place to be monitored corresponding to the group type to be monitored according to the group type to be monitored input into the object monitoring system; the group type to be monitored is the group type to which the monitored object belongs.

In a third aspect, an embodiment of the present application provides an object monitoring apparatus, applied to an object monitoring system, including:

The determining module is used for determining identity information of at least two dimensions of the monitoring object and taking the identity information as identity information to be compared;

the determining module is further used for determining a monitoring range of the monitoring object;

the receiving module is used for receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in the monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information with the same dimension, wherein the identity information is acquired at the track points;

the determining module is further configured to determine that the monitored object is monitored if the comparison result is that the comparison is successful; and the successful comparison is successful in comparing the identity information to be compared in any dimension.

In one possible design, the monitoring object is an individual object; the determining module is specifically configured to:

receiving input identity information of a first dimension;

In one possible design, the monitoring object is a group object; the determining module is specifically configured to:

In a fourth aspect, an embodiment of the present application provides an object monitoring apparatus, applied to an object monitoring system, including:

the receiving module is used for receiving the indication information input into the object monitoring system, wherein the indication information is used for indicating the identity information of the monitored object or the group type of the monitored object;

the determining module is used for determining and recommending the identity information associated with the monitoring object according to the indication information, wherein the associated identity information is used for determining the identity information to be compared of the monitoring object by the object monitoring system;

the determining module is further configured to determine and recommend, according to the identity information to be compared, a location to be monitored associated with the monitored object, where the associated location to be monitored is used by the object monitoring system to determine a monitoring range of the monitored object.

In one possible design, the monitoring object is an individual object, and the indication information includes identity information of a first dimension of the monitoring object; the determining module is specifically configured to:

In one possible design, the monitoring object is a group object, and the indication information is a group type to be monitored; the determining module is specifically configured to:

In one possible design, the monitoring object is a group object; the indication information is the group type to be monitored; the determining module is specifically configured to:

In a fifth aspect, an embodiment of the present application provides an object monitoring apparatus, including:

a memory for storing a program;

a processor for executing the program stored by the memory, the processor being adapted to perform the method of any of the various possible designs of the first aspect and the first aspect as above or of the second aspect and the second aspect as above when the program is executed.

In a sixth aspect, embodiments of the present application provide a computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any of the various possible designs of the first aspect and the first aspect or of the second aspect and the second aspect.

In a seventh aspect, embodiments of the present application provide a computer program product comprising instructions which, when executed, cause a computer to perform the method of any of the various possible designs of the first aspect as above or of the various possible designs of the second aspect as above.

In an eighth aspect, an embodiment of the present application provides an object monitoring system, including: the first electronic device and the second electronic device;

Wherein the first electronic device is configured to perform the method according to the first aspect and any of the various possible designs of the first aspect, and the second electronic device is configured to perform the method according to the second aspect and any of the various possible designs of the second aspect.

In one possible design, the object monitoring system further includes a comparison device, configured to obtain, for the identity information to be compared of any one dimension, trace point data of the dimension in the monitoring range from the data device; and comparing the identity information to be compared with the identity information in the track point data to obtain a comparison result, and sending the comparison result to the object monitoring equipment.

The embodiment of the application provides an object monitoring method and device, wherein the method comprises the following steps: and determining identity information of at least two dimensions of the monitoring object as identity information to be compared. A monitoring range for the monitored object is determined. Receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points. If the comparison result is that the comparison is successful, the monitored object is determined to be monitored, wherein the comparison success is that the identity information to be compared in any dimension is successfully compared. The identity information of at least two dimensions of the monitored object is used as the identity information to be compared, the identity information to be compared and the identity information in the track point data are compared in a determined monitoring range, a comparison result is obtained, when the comparison of the identity information to be compared in any dimension is successful, the comparison result is successful, the monitored object can be determined according to the comparison result of the comparison success, and therefore the monitored object can be monitored based on the identity information of a plurality of dimensions, and the monitoring efficiency and the success rate of the monitored object are effectively improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.

FIG. 1 is a schematic diagram of an object monitoring system according to an embodiment of the present application;

FIG. 2 is a flowchart of an object monitoring method according to an embodiment of the present application;

FIG. 3 is a flow chart of a method for object monitoring according to another embodiment of the present application;

fig. 4 is a schematic implementation diagram of determining identity information to be compared of an individual object according to an embodiment of the present application;

fig. 5 is a schematic diagram of similarity of face images according to an embodiment of the present application;

FIG. 6 is a schematic diagram of implementation of early warning information provided by an embodiment of the present application;

FIG. 7 is a flowchart of an object monitoring method according to another embodiment of the present application;

FIG. 8 is a schematic diagram of an implementation of identity information to be compared of a group object according to an embodiment of the present application;

FIG. 9 is a unit division diagram of an object monitoring method according to an embodiment of the present application;

Fig. 10 is a schematic structural diagram of an object monitoring device according to an embodiment of the present application;

FIG. 11 is a schematic diagram of another structure of an object monitoring apparatus according to an embodiment of the present application;

fig. 12 is a schematic hardware structure of an object monitoring device according to an embodiment of the present application;

fig. 13 is a system configuration diagram of an object monitoring system according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

For easy understanding, first, the background art related to the present application will be described in further detail:

a monitored object has multidimensional identity elements such as certificates, face pictures, walking gait, pictures and license plates of registered vehicles under the name, mobile phone numbers under the name, mobile phone MAC and the like. Currently, identity data of each dimension of a monitored object is typically stored in a scattered manner, such as a regular database, a temporary database, a passport registry, a citizen card registry, a car management database, a mobile phone real name registry, a staff social security database, and the like. However, the existing monitoring system generally only includes identity data in a certain dimension, so that the existing monitoring system generally only can monitor based on identity information in a single dimension, for example, the identity card monitoring system only monitors based on identity document data, and the vehicle monitoring system only monitors based on vehicle information.

On one hand, it is difficult to ensure that the single-dimensional data of all the monitored objects are acquired in a single monitoring system, and the single monitoring system may not be capable of updating the single-dimensional data in time, so that the monitoring success rate is low. For example, a person to be monitored appears in an internet bar, a camera of the internet bar takes a picture of the person, if the person registers an identity card in the internet bar (namely, the identity card data of the person is acquired in the monitoring system), the picture taken by the camera can be compared with the picture in the identity card, and if the comparison is successful, the person is monitored; however, if the person does not register the identification card in the internet bar (i.e. the identification card data of the person is not acquired in the monitoring system), the monitoring of the person cannot be realized according to the identification card.

On the other hand, in the monitoring process, if the presence of the person is monitored at a certain place, the generated early warning is also distributed in each scattered system to form an early warning information island, so that the sharing of the early warning information is not facilitated.

Moreover, the identities of the monitoring systems for the same person are different, for example, for person 1, system a is identified as person 123, system B is identified as person 234, when system a and system B monitor the person 1 at the same time, because the identities of the two systems for the person 1 are different, the two systems cannot simultaneously monitor the conclusion of the person 1, which affects the accuracy of the subsequent use of the early warning data, for example, when the number of times of monitoring the person 1 needs to be counted, the monitoring is actually performed for 2 times, but the system a and the system B respectively output the conclusion of monitoring for 1 time, and neither the system a nor the system B can obtain the conclusion of monitoring for 2 times, which is inconsistent with the reality.

Aiming at the problems in the prior art, the application provides the following technical conception: taking a monitored object as a unit, storing the identity data of each dimension of the monitored object in an associated mode, and integrating the multidimensional data of the monitored object, so that personnel can be monitored based on the data of a plurality of dimensions, and if the identity data of any dimension is successfully compared, the personnel is considered to be monitored; and the identity data of a plurality of dimensions are successfully compared, and the same person can be identified, so that the monitoring efficiency and the monitoring accuracy are effectively improved. For example, the multi-dimensional identity data of a monitored object may include: credentials (passport, identification card, student card, military officer card, citizen card, etc.), face images (credentials headshot, life shot, street shot face images, etc.), body images (life shot, street shot body images, etc.), vehicle images (vehicle images registered by car management, street shot vehicle images, etc.), license plates, body characteristic properties (clothing color, whether to carry a bag, whether to ride a bike, whether to wear glasses, etc.). The more comprehensive the dimension of the identity data, the higher the monitoring efficiency and accuracy will be.

The following describes the units related to the present application with reference to fig. 1, and fig. 1 is a schematic diagram of an object monitoring system provided by an embodiment of the present application, as shown in fig. 1:

The data unit may store, for example, identity data of multiple dimensions of each person, and may include certificate data, such as identity card data, student card data, passport data, military evidence data, citizen card data, bus card data, etc., vehicle data registered under name, such as vehicle picture and license plate number, photo data, such as face picture data, gait picture data, body picture data, etc., mobile phone number registered under name, mobile phone MAC information, etc., illegal recording data, etc., where, in a possible implementation, each data in the data unit is stored in one person as a unit, for example, there is an association between data of multiple dimensions of each person.

In one possible implementation, the data of each person in the data unit may also comprise, for example, one or more cluster labels, wherein the cluster labels may, for example, be clustered according to behavioral characteristics and different cluster labels are set for the persons of different behavioral characteristics; the clustering can be performed according to the occupational attributes, different clustering labels and the like can be set for people with different occupational attributes, and in the actual implementation process, the specific implementation mode of the clustering labels can be selected according to actual requirements.

And, location data of each location may be stored in the data unit, where the location data may include, for example, a location name and latitude and longitude, where the location may be, for example, a location of each train station, each bus stop, an internet bar, a hotel, a gas station, etc., and in one possible implementation, location data of all locations that exist may be stored in the data unit of the present embodiment.

In one possible implementation, the locations corresponding to the location data stored in the data unit may be categorized, for example, into two categories, namely, an event venue category and an internet of things category. The internet of things refers to data acquired by internet of things acquisition equipment.

Wherein, the activities include food, living, traveling, entertainment, consumption, such as restaurant, hotel, district, passenger station, train station, airport, bus, subway, mall, gas station, internet bar, KTV, etc.; the internet of things may include, for example, a face snapshot point, a vehicle snapshot point, a human body snapshot point, an electronic fence collection point, a wireless probe collection point, and other snapshot points, where the specific implementation of the points is not particularly limited, and the electronic fence collection point and the wireless probe collection point are snapshot points for acquiring mobile phone information, for example, when a user passes through an electronic fence, the electronic fence collection point may acquire a mobile phone MAC, and when the user accesses wireless, the wireless probe collection point may acquire the mobile phone MAC, and so on.

And, the data unit may further store trace point data of personnel, where the trace point data is used to indicate data of personnel appearing in each place, for example, when the personnel is surfing the internet or checking in a hotel, the internet or hotel registers the identity card and the mobile phone number of each personnel, and the trace point data may include the identity card information and the mobile phone number of each personnel surfing the internet, so as to determine each personnel appearing in the internet; for example, when the vehicle is stopped in a parking lot and the vehicle is refueled in a gas station, the license plate number is registered in the parking lot, and the track point data can comprise the license plate number registered in the gas station and the parking lot; for example, when the vehicle runs on the street, the license plate and the vehicle can be captured, when the person walks on the street, the face, the human body, the gait and the like can be captured, and when the person uses the mobile phone, the mobile phone MAC and the like can be monitored, so that the track point data can also comprise the data of the person acquired at each place, and it can be understood that each data stored in the track point data is not specific, for example, the internet bar can record and store the identity card information of all registered persons.

In this embodiment, based on the three data of the multidimensional identity data, the location data and the track point data described above, monitoring can be effectively achieved, for example, identity information to be compared of a monitored object can be determined based on the multidimensional identity data, after the identity information to be compared is determined, the track point data of the identity information with the same dimension can be obtained from the track point data and sent to the comparing unit, so that comparison of the identity information with the same dimension can be achieved, after the comparison is successful, longitude and latitude and other information of a place where the comparison is successful can be obtained from the location data, and therefore the specific position of the monitored object can be determined.

In one possible implementation manner, the identity data, the location data and the track point data in the embodiment may be some data stored in advance, and updated in real time according to the collected data in the monitoring process; alternatively, the identity data, the location data, and the track point data in this embodiment may also be data that is updated directly in real time to be determined.

The data unit in the embodiment can recommend the place where the monitoring personnel frequently move before according to the track point data, so as to obtain a recommended monitoring place, or the monitoring place can be manually supplemented and input; the data unit in this embodiment may dynamically construct identity information of all dimensions of the monitoring personnel according to identity information of any dimension, and the identity information of the monitoring personnel may further be manually supplemented with data, and after the data unit determines the monitoring location and the identity information, the monitoring location and the identity information may be sent to the application unit. And the application unit in the embodiment can receive the monitoring place and the identity information recommended and sent by the data unit, and finally determine the monitoring range and the identity information to be compared according to the recommended monitoring place and the recommended identity information.

For example, the current data unit recommends and transmits a plurality of monitoring sites, among which the application unit can filter, for example, select some of the monitoring sites or can also select all of the monitoring sites.

The monitoring range is then determined on the basis of the selected monitoring locations, and in determining the monitoring range, it may be determined, for example, that the monitoring locations are included in the monitoring range in one possible implementation; alternatively, the upper area of the monitoring sites may be determined as a monitoring range, which is illustrated herein, for example, there is a monitoring site currently being a XX gas station, where the XX gas station is located in the area a, and the monitoring range may include the area a, for example, in the actual implementation process, the specific implementation of determining the monitoring range according to the monitoring site may be selected according to the actual requirement.

After the monitoring range and the identity information to be compared are determined, the application unit can issue a monitoring task, and specifically, the monitoring range and the identity information to be compared can be sent to the comparison unit.

The comparison unit may include a plurality of comparison algorithms, for example, may include at least one of the following: face comparison, gait comparison, human body comparison, vehicle map comparison, license plate comparison, certificate comparison, mobile phone number comparison, mobile phone MAC comparison, mobile phone detection code comparison and human body characteristic attribute comparison. The comparison unit can start the comparison algorithm operation corresponding to the identity information to be compared according to the monitoring range and the identity information to be compared which are sent by the application unit.

In one possible implementation manner, the comparison unit acquires track point data with the same dimension as the identity information to be compared from the data unit, and pushes the acquired track point data to a comparison algorithm corresponding to the current dimension, so as to perform collision comparison with the identity information to be compared with the same dimension.

For example, if the identity information in the current track point data is a face picture, the face picture in the track point data can be pushed to a face comparison algorithm to be compared with the face picture in the identity information to be compared, so that a comparison result is obtained.

In this embodiment, the identity information to be compared may include identity information of at least two dimensions, when the identity information of any dimension is successfully compared, the comparison success may be determined, and then the comparison result may be sent to the application unit, so that the application unit determines that the monitoring object is monitored.

On the basis of the above-described system, the object monitoring method provided by the present application is described below with reference to specific embodiments, and it should be noted that, an execution body of each embodiment of the present application may be a device having a data processing function, such as a server, a processor, or a microprocessor, and in an actual implementation process, a specific implementation manner of the execution body may be selected according to an actual requirement, which is not limited in this embodiment, so long as the execution body is a device having a data processing function.

Fig. 2 is a flowchart of an object monitoring method according to an embodiment of the present application.

As shown in fig. 2, the method includes:

s201, identity information of at least two dimensions of the monitoring object is determined and used as identity information to be compared.

In this embodiment, in order to improve the monitoring efficiency, identity information of at least two dimensions of the monitored object is used as identity information to be compared, where the identity information to be compared may include, for example, identity information of all dimensions of the monitored object, or the identity information to be compared may also include identity information of a part of dimensions of the monitored object, which is not limited in this embodiment, as long as the identity information to be compared includes identity information of at least two dimensions.

In one possible implementation manner, the type of the monitoring object in the embodiment may be, for example, an individual object, that is to say, monitoring is performed for a specific object, in which case, when identity information of at least two dimensions of the monitoring object is determined, for example, identity information of any dimension of the user input by the user may be received, and identity information of the remaining dimensions is associated according to the identity information input by the user; or may also receive additional identity information entered by the user, or may also directly receive the identity of at least two dimensions entered by the user.

In another possible implementation manner, the type of the monitoring object in this embodiment may be, for example, a group type, that is, the monitoring is performed on the object of a certain group, in this case, when determining identity information of at least two dimensions of the monitoring object, for example, the group type input by the user may be received, and the identity information to be compared may be determined according to the group type, for example, the identity information of each person in the data unit includes one or more cluster labels for indicating the group type, then according to the group type, the corresponding cluster label may be found, so that at least one object associated with the group type may be obtained according to the cluster label, and the identity information of each object associated with the cluster label may be determined as the identity information to be compared, for example, all the identity information of each object associated with the cluster label may be determined as the identity information to be compared, or part of the identity information of each object associated with the cluster label may be determined as the identity information to be compared. When an object associated with the group type is acquired, identity information of at least two dimensions of the associated object can be determined as identity information to be compared.

The specific implementation manner of determining the identity information to be compared is not limited in this embodiment, and may depend on the type of the monitored object, and under different types of the monitored object, the identity information of which dimensions is specifically selected may be selected according to the actual requirement, which is not limited in this embodiment.

S202, determining a monitoring range of the monitored object.

In this embodiment, the track of the monitored object needs to be monitored, so that the monitoring range of the monitored object can be determined.

In one possible implementation, the monitoring range of the monitoring object may include, for example, a place where the monitoring object frequently appears; alternatively, the monitoring range of the monitoring object may also include, for example, a resident location of the monitoring object; alternatively, the monitoring range of the monitoring object may also include a certain class of places near the resident place of the monitoring object, and the like.

In another possible implementation manner, the monitoring range of the monitoring object may further include, for example, an upper area corresponding to the above-described location, and the specific implementation manner of the monitoring range is not limited in this embodiment.

In determining the monitoring range of the monitoring object, for example, a monitoring location transmitted by the data unit may be received, that is, the data unit may first determine a recommended monitoring location and transmit the determined monitoring location to the application unit, wherein when the data unit determines the recommended monitoring location, the monitoring location may be determined according to the track point data of the monitoring object, for example, according to the location where the monitoring object frequently appears when the type of the monitoring object is an individual object; or when the type of the monitoring object is a group object, the monitoring area associated with the group type can be determined according to the group type of the monitoring object, and then the monitoring range of the monitoring object can be determined based on the monitoring place or the monitoring area.

Or, the operator may perform a point selection operation or a frame selection operation on the map, so as to determine the monitoring range of the monitored object, and the embodiment does not limit a specific implementation manner of determining the monitoring range of the monitored object, so long as the monitoring range can implement monitoring of the monitored object.

S203, receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points.

In this embodiment, after determining the identity information to be compared and the monitoring range, the application unit may issue a monitoring task to the comparison unit according to the identity information to be compared and the monitoring range, for example, where the monitoring task includes the identity information to be compared and the monitoring range.

The monitored object may then be monitored within the monitoring range, and in one possible implementation, trace point data may be collected within the monitoring range, where the trace point data includes trace points and identity information of the same dimension collected at the trace points, the trace points are used to indicate where the collected data is, and the collected identity information of the same dimension is used to compare with the identity information to be compared.

For example, if the current identity information to be compared includes an identification card number and a face picture, and if the current determined monitoring range includes an internet bar, a plurality of track point data may be collected in the internet bar, where the track point data may include the identification card number and the face picture collected in the internet bar, it may be understood that the track point data is not collected for a certain object, that is, the identification card numbers and the face pictures of all people appearing in the internet bar are collected currently, so as to obtain a plurality of track point data.

And then, the comparison unit can perform comparison with the same dimension according to the identity information to be compared and the identity information in the track point data, so as to obtain a comparison result, wherein the comparison result can be, for example, successful comparison or failure comparison.

In this embodiment, the successful comparison refers to that the identity information to be compared is successfully compared for any dimension.

After the comparison unit determines the comparison result, the comparison result is sent to the application unit, and the application unit can receive the comparison result.

S204, if the comparison result is that the comparison is successful, determining that the monitoring object is monitored.

In one possible implementation manner, if the comparison result is that the comparison is successful, it may be determined that the monitored object is currently monitored, and based on the description above, it may be determined that the track point data further includes a track point, and the comparison unit may further send the track point to the application unit, for example, to indicate where the monitored object is currently monitored specifically.

In another possible implementation manner, if the comparison result is that the comparison fails, it may be determined that the monitoring object is not monitored in the current monitoring range, then the monitoring may be selected to be continued, or the monitoring range may be selected to be adjusted.

The object monitoring method provided by the embodiment of the application comprises the following steps: and determining identity information of at least two dimensions of the monitoring object as identity information to be compared. A monitoring range for the monitored object is determined. Receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points. If the comparison result is that the comparison is successful, the monitored object is determined to be monitored, wherein the comparison success is that the identity information to be compared in any dimension is successfully compared. The identity information of at least two dimensions of the monitored object is used as the identity information to be compared, the identity information to be compared and the identity information in the track point data are compared in a determined monitoring range, a comparison result is obtained, when the comparison of the identity information to be compared in any dimension is successful, the comparison result is successful, the monitored object can be determined according to the comparison result of the comparison success, and therefore the monitored object can be monitored based on the identity information of a plurality of dimensions, and the monitoring efficiency and the success rate of the monitored object are effectively improved.

On the basis of the above embodiment, it may be determined that the type of the monitoring object may be an individual object, for example, monitoring is performed for a certain person, or the type of the monitoring object may be a group object, for example, monitoring is performed for a certain person, and an implementation manner of the individual object and an implementation manner of the group object are described below, respectively.

First, an implementation manner of object monitoring of an individual object is described with reference to fig. 3, fig. 3 is a flowchart of a method for object monitoring provided by another embodiment of the present application, fig. 4 is a schematic implementation diagram of determining identity information to be compared of an individual object provided by an embodiment of the present application, fig. 5 is a schematic implementation diagram of similarity of face images provided by an embodiment of the present application, and fig. 6 is a schematic implementation diagram of early warning information provided by an embodiment of the present application.

As shown in fig. 3, the method includes:

s301, receiving input identity information of a first dimension.

When the monitoring object is an individual object, in determining the identity information of at least two dimensions of the monitoring object, since the identity information of a plurality of dimensions of each person are interrelated, the identity information of each dimension of the user can be correlated according to the identity information of any dimension input by the user.

First, the application unit may receive the input identity information of the first dimension, which is described below in connection with fig. 4.

Referring to 401 in fig. 4, a user may input identity information of a first dimension in an input box, for example, it may be understood that the user currently inputs the identity information of the first dimension, which indicates that monitoring needs to be performed on an object indicated by the identity information of the first dimension, and the identity information of the first dimension may be information for uniquely indicating a user, for example, an identification card number, a license plate number, a social security number, and the like.

S302, receiving identity information of at least one second dimension obtained by association according to the identity information of the first dimension.

In this embodiment, the application unit may send the received identity information of the first dimension to the data unit, and in a possible implementation manner, for example, the application unit may call an interface of the data unit for constructing the identity information, and send the identity information of the first dimension to the data unit, so that the data unit determines the identity information of at least one second dimension according to the identity information of the first dimension.

Specifically, the data unit receives identity information of a first dimension sent by the application unit, determines identity information of at least one second dimension associated with the identity information of the first dimension in the multidimensional identity information, and recommends the determined identity information of the at least one second dimension to the application unit.

Correspondingly, the application unit in this embodiment may receive the identity information of at least one second dimension associated with the identity information of the first dimension sent by the data unit, and it may be understood that the identity information of the first dimension and the identity information of the second dimension in this embodiment are both identity information associated and stored in the data unit.

S303, determining the identity information of the first dimension and the identity information of at least one second dimension as identity information to be compared.

After the application unit receives the identity information of the first dimension input by the user and receives the identity information of at least one second dimension associated with the identity information of the first dimension sent by the data unit, the identity information of the first dimension and the identity information of the at least one second dimension can be determined to be the identity information to be compared.

As will be understood with reference to fig. 4, assuming that the identity information of the first dimension input by the current user is an identification card number, which is 12345, then the data unit obtains, according to the identification card number, at least one piece of identity information of the second dimension associated with the identification card number 12345, which may include, for example, the mobile phone number, the license plate number, the face picture, etc. in fig. 4, the specific implementation of the second dimension is not particularly limited, and depends specifically on the identity information stored in the data unit.

In this embodiment, the identity information of the second dimension sent by the data unit may include, for example, all identity information associated with the identity information of the first dimension, and in the process of determining the identity information to be compared, the application unit may, for example, perform further screening on the identity information of the second dimension sent by the data unit, for example, may select part of the identity information in the identity information of the second dimension sent by the data unit as the identity information to be compared; or, the identity information of the second dimension sent by the data unit may be all determined as the identity information to be compared, and the specific implementation manner of finally determining the identity information to be compared is not particularly limited in this embodiment.

In another possible implementation manner of this embodiment, the application unit may further receive identity information of a third dimension input by the user, where the identity information of the third dimension is identity information not stored in the data unit, which may be understood as supplementary identity information.

For example, referring to 402 in fig. 4, the user may input supplementary identity information on the operation interface, where the supplementary identity information is not stored in the data unit, but the operator may determine that the information is data of the identity information of the monitoring person, for example, there is currently a vehicle 1, the vehicle 1 is recorded in the record of the vehicle management station and is not recorded in the name of the monitoring person, but during the monitoring, the operator determines that the vehicle is the vehicle of the monitoring person, and may input related information of the vehicle 1 as the supplementary identity information, so that the supplementary identity information is also determined as the identity information to be compared.

In this embodiment, the identity information to be compared may be obtained only according to the identity information of the first dimension and the identity information of at least one second dimension; or, the identity information to be compared can be obtained only according to the identity information of the third dimension input by the user; or, the identity information to be compared can be obtained according to the identity information of the first dimension, the identity information of at least one second dimension and the identity information of the third dimension input by the user at the same time, and the specific implementation manner of the identity information to be compared can be selected according to actual requirements, which is not limited in this embodiment.

S304, receiving the to-be-monitored place recommended by the object monitoring system according to the to-be-compared identity information.

In this embodiment, when determining the monitoring range, the application unit may determine the location to be monitored according to the data unit.

Correspondingly, the data unit needs to determine the location to be monitored, and in one possible implementation manner, the data unit may determine the location to be monitored according to the identity information to be compared of the monitored object, and send the determined location to be monitored to the application unit.

Possible implementations of the determination of the location to be monitored by the data unit are described below:

When the monitoring object is an individual object, the data unit may first determine target track point data having identity information to be compared from the multi-dimensional track point data, and recommend track points in the target track point data as the places to be monitored.

First, description will be made of possible implementation manners of determining the target track point data, in this embodiment, the track point data of the monitoring object in the history period, that is, the track point data of the monitoring object stays in which places in the history period, where the history period refers to a period between the current periods.

In one possible implementation manner, the track point data includes identity information, and the data unit may acquire track point data with the identity information to be compared from the track point data according to the identity information to be compared, so as to determine target track point data.

For example, in the present embodiment, the data unit may determine track point data of the object a in a history period according to identity information of the object a, determine target track point data, for example, obtain target track point data with identity card data a 'from track point data according to identity card data a' of the object a, and obtain target track point data with license plate number 123 from track point data according to license plate number 123 of the object a.

After determining the target track point data, the to-be-monitored location may be recommended according to the target track point data, and in a possible implementation manner, the target track point data may include a plurality of track point data, where a frequency of occurrence of each track point data may indicate a frequency of occurrence of the monitored object at a corresponding track point.

In one possible implementation manner, the track point with the occurrence frequency greater than or equal to the preset threshold value may be determined as the location to be monitored, where the setting of the preset threshold value may be selected according to the actual requirement, and this embodiment is not limited in particular.

In another possible implementation manner, for example, a location of the monitored object, such as a residence, a home, etc., of the monitored object may be determined according to the target track point data, and a location near the location of the monitored object or a location within a preset range of the location of the monitored object may be used as the location to be monitored in the present embodiment.

S305, determining a monitoring range of the monitored object according to the place to be monitored.

After the application unit receives the recommended place to be monitored of the data unit, the monitoring range of the monitored object can be determined according to the recommended place to be monitored.

In one possible implementation, for example, one or more sites to be monitored are selected as the monitoring range for the monitored object; or, the upper area of the monitoring sites can be taken as the monitoring range, for example, the current data unit recommends 3 sites to be monitored, namely an internet bar A, a hotel B and a gas station C, and the three sites to be monitored are all located in an 11-zone, so that the 11-zone can be taken as the monitoring range.

Or, one or more places to be monitored may be selected, then the upper area corresponding to the selected places to be monitored is determined as the monitoring range, for example, the current data unit recommends 3 places to be monitored, firstly 2 places are selected from the three places to be monitored, and then the upper area of the 2 places selected is determined as the monitoring range.

Or, the upper areas corresponding to the selected multiple places to be monitored can be determined as the monitoring range, for example, 3 monitoring points are recommended by the current data unit, firstly, 2 places are selected from the three places to be monitored, and assuming that the selected 2 places are respectively a D internet bar and an E restaurant, wherein the upper area of the D restaurant is a 22 area, and the upper area of the E restaurant is a 33 area, the 22 area and the 33 area can be determined as the monitoring range.

The specific implementation manner of determining the monitoring range according to the location to be monitored in this embodiment is not particularly limited, as long as the monitoring range is selected according to the location to be monitored.

S306, receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range in any dimension of the identity information to be compared of the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points.

In the present embodiment, the identity information in the track point data includes, for example, at least two of the following information:

face image, body image, gait information, license plate number, car body image, certificate use information, and communication equipment use information.

It may be appreciated that the track point data is acquired at a plurality of locations within the monitoring range, and in one possible implementation, the face image may be a face image that is scanned and acquired in the monitoring range, for example, the internet bar may acquire a face image when registering, and further, for example, the hotel registers, or the face image may also be a face image captured by a camera of the monitoring range, etc.;

The human body image can be a human body image captured by a camera in a monitoring range;

gait information is the posture of a person walking, which can be obtained by analyzing a human body image, for example;

the license plate number can be, for example, a license plate number identified by a license plate photo captured in a monitoring range, or can also be a license plate number obtained by scanning in places such as a parking lot, a gas station and the like, or a license plate number obtained by registering in some places;

the vehicle body image can be obtained by capturing a monitoring range;

the certificate registration information may be information that a person registers with a certificate in a monitoring area, and may be, for example, a certificate number, or may also be a certificate photograph, where the certificate may be, for example, an identity card, a passport, a student card, a military license, a citizen card, or the like, which may indicate the identity of the person.

The information about the communication device may be information about the communication device held by the person, for example, may be a mobile phone number, or may be a mobile phone media access control address (Media Access Control Address, MAC), or may also be a mobile phone detection code, etc., where any information about the communication device may be used as the information about the communication device in this embodiment.

In the actual implementation process, the specific implementation mode of the identity information in the track point data can be selected according to actual requirements, and all the information acquired in the monitoring range can be used as the identity information in the track point data.

In this embodiment, the identity information to be compared includes at least two of the following information:

face image, body image, gait information, body characteristics, license plate number, body image, certificate number, and communication equipment information.

The face image can be a certificate photo, a life photo, a street snap face image and the like;

the human body image can be a living photo, a street snap image, and the like;

gait information is the posture of a person walking, which can be obtained by photo analysis, for example;

the human body characteristics can be the color of clothes in the snapshot map, whether to carry a bag, whether to carry an automobile, whether to wear glasses and other information for reflecting the external characteristics of the human body;

the license plate number is a license plate number registered under the name of personnel;

the vehicle body image may be, for example, a vehicle image registered by a vehicle pipe, or may also be a vehicle image captured by an interface, or the like;

the credential information may be a credential number, a credential photograph, a credential identification, etc. of each individual credential of the person, where the credential may include a passport, an identity card, a student card, a military, a citizen card, etc.

The communication device information may be information about a communication device held by the user, similar to the communication device usage information described above.

In the actual implementation process, the specific implementation mode of the identity information to be compared can be selected according to actual requirements, and all the information related to the identity of the personnel can be used as the identity information to be compared in the embodiment.

Based on the above description, it may be determined that the identity information in the track point data and the identity information to be compared are identity information with the same dimension, for example, for a face image in the identity information in the track point data, the face image corresponds to the identity information to be compared; for example, the human body image corresponds to the object information, and when the comparison of the information is performed, the comparison can be performed only by the information of the same dimension.

In one possible implementation, the comparison result may be obtained by comparing identity information of the same dimension in the identity information and the track point data.

For example, the similarity between the face image in the identity information to be compared and the identity information in the track point data can be obtained based on face images in the same dimension.

For example, referring to fig. 5, when the identity information to be compared includes a face image 501 of a person a and the identity information in the track point data includes a collected face image 502 and a collected face image 503, the similarity between the face image 501 and the face images 502 and 503 may be obtained respectively, so as to determine whether the face image collected in the identity information in the current track point data belongs to the person a.

In one possible implementation manner, when the similarity is acquired based on the images, for example, the feature vectors of the two images to be compared can be acquired, and the similarity of the images can be obtained by comparing the similarity of the feature vectors of the two images, so that the accuracy of the acquired similarity can be effectively ensured by determining the similarity of the images based on the feature vectors.

And in another possible implementation manner, when calculating the similarity for various number information of license plate numbers, certificate numbers and communication devices, it can be directly determined whether the numbers are the same or different, that is, the similarity is 100% or 0%.

When the similarity is acquired for the vehicle body image, the vehicle information such as the color, the vehicle type and the license plate of the vehicle can be acquired according to the vehicle body image, and the similarity of the vehicle body image is determined by comparing the vehicle information; or the similarity of the vehicle body image may be determined based on the above-described manner of the feature vector, which is not particularly limited in the present embodiment.

In this embodiment, for example, a similarity threshold may be set, and when the similarity is greater than or equal to the similarity threshold, it may be considered that the identity information in the trajectory point data of the current computed similarity corresponds to the same person to be compared with the identity information.

In one possible implementation manner, for various identity information, respective corresponding similarity thresholds may be set, and the specific setting of the similarity thresholds is not limited in this embodiment, and may be selected according to actual requirements.

The embodiment can calculate the similarity between the identity information and the identity information to be compared in the track point data with the same dimension, and if the similarity between the identity information and the identity information to be compared in the track point data with a certain dimension is greater than or equal to the corresponding similarity threshold value, the comparison result can be determined to be successful.

For example, referring to fig. 5, assuming that 95% of the first threshold is currently set for the face image, as can be seen from fig. 5, for example, that the similarity between the current face image 501 and the face image 502 is 100% and the similarity between the current face image 501 and the face image 504 is 40%, it can be determined that the object a is currently monitored at the track point corresponding to the face image 503.

It can be understood that in this embodiment, identity information of multiple dimensions is included, and similarities in the identity information are correspondingly compared, so long as identity information of one dimension is successfully compared, a comparison result can be determined to be successful.

S307, if the comparison result is that the comparison is successful, determining that the monitoring object is monitored.

In this embodiment, when the comparison unit determines that the comparison result is successful, the comparison result may be sent to the application unit, and the trajectory point data that is successful in comparison may also be sent to the application unit.

The application unit may receive the comparison result, and when the comparison result is determined to be that the comparison is successful, it may determine that the monitored object is monitored, and then may obtain location information, such as a location name, longitude and latitude, etc., of the successfully compared track point data from the location data in the data unit according to the successfully compared track point data.

And the application unit can send early warning information to the preset terminal equipment according to the location information of the successfully-compared track point data, wherein the early warning information comprises location identification, longitude and latitude, successfully-compared identity information and the like.

In a possible implementation manner, the implementation manner of the early warning information may be that a mark is displayed in a map, for example, referring to fig. 6, assuming that a successfully aligned track point data is currently determined, an indication mark 601 may be displayed on a geographic position corresponding to the successfully aligned track point data, so as to early warn that a monitored object is monitored at the current position, and identity information of the monitored object may be displayed at a corresponding position of the indication mark.

In another possible implementation manner, the implementation manner of the early warning information may also be a list display manner, for example, see the following table 1:

TABLE 1

The identity information of the monitored object which is monitored currently, and the place name and longitude and latitude of the track point data which are successfully compared and appear in the monitored object are provided in a list mode, so that the identity information of the monitored object and the monitored place can be rapidly and efficiently determined.

In still another possible implementation manner, the above-mentioned manner of displaying the early warning information on the map and the manner of displaying the identity information of the monitoring object on the list may be combined, for example, displaying the indication mark on the map and displaying the list on the side.

Or, the implementation manner of the early warning information may be that information, mail, etc. are sent to the preset terminal, and the specific implementation manner of the early warning information is not particularly limited in this embodiment, so long as the early warning information may indicate that the monitored object appears at the position corresponding to the track point data that is successfully compared.

The object monitoring method provided by the embodiment of the application comprises the following steps: input identity information of a first dimension is received. And receiving the identity information of at least one second dimension obtained by association according to the identity information of the first dimension. And determining the identity information of the first dimension and the identity information of at least one second dimension as identity information to be compared. And receiving the to-be-monitored place recommended by the object monitoring system according to the to-be-compared identity information. And determining the monitoring range of the monitored object according to the place to be monitored. Receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared of the object monitoring system in any dimension with the identity information in the corresponding track point data in a monitoring range; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points. If the comparison result is that the comparison is successful, the monitored object is determined to be monitored. When the monitored object is an individual object, the accuracy of the monitored track point data can be ensured and the accurate monitoring of the individual object can be realized by receiving the to-be-monitored location recommended by the data unit according to the to-be-compared identity information of the individual object and determining the monitoring range of the monitored object according to the to-be-monitored location.

Next, an implementation manner of object monitoring of a group object is described with reference to fig. 7, fig. 7 is a flowchart of an object monitoring method provided by another embodiment of the present application, and fig. 8 is a schematic implementation diagram of identity information to be compared of a group object provided by an embodiment of the present application.

As shown in fig. 7, the method includes:

s701, receiving the group type of the input monitoring object as the group type to be monitored.

When the monitoring object is a group object, the application unit may receive the group type to which the monitoring object belongs, which is input by the user, to determine which group type of object is currently required to be monitored.

In this embodiment, when the identity information of the user is stored in the data unit, the identity information of each user may include one or more cluster labels, where the cluster labels are used to indicate the group types to which the user belongs, for example, the cluster labels are of a first type, and the group types corresponding to the people including the cluster labels in the identity information are the first type of people, where the specific implementation manner of the group types may be selected according to the actual needs, which is not limited in this embodiment.

S702, receiving identity information of at least one object to be monitored, which is recommended by the object monitoring system according to the group type to be monitored.

The application unit determines the group type to which the monitored object input by the user belongs as the group type to be monitored, and in one possible implementation manner, the application unit may send the group type to be monitored to the data unit, so that the data unit sends the acquired identity information of at least one object belonging to the group type to be monitored to the application unit from the multidimensional identity information according to the group type to be monitored.

For example, referring to fig. 8, assuming that the first type of person needs to be monitored currently, the application unit may first receive the group type input by the user as the first type of person, and determine the first type of person as the group type to be monitored, and then send the first type of person as the group type to be monitored to the data unit, and the data unit determines identity information of at least one object belonging to the first type of person as the group type to be monitored according to the group type to be monitored, and recommends the determined identity information to the application unit, where the identity information may be, for example, zhang san, lisi … and the like shown in fig. 8.

S703, determining the identity information of at least one object to be monitored as identity information to be compared.

After receiving the identity information of the at least one object to be monitored sent by the data unit, the application unit can determine the identity information of the at least one object to be monitored as identity information to be compared, so that the monitoring of the objects in the group type to be monitored is realized.

S704, receiving the to-be-monitored places recommended by the object monitoring system according to the group types to be monitored.

In this embodiment, the group type of the monitored object is the group type input by the user and received by the application unit, and the group type is used as the group type to be monitored, and then the group type to be monitored can be sent to the data unit.

In this embodiment, because there are a plurality of monitoring objects related to the group type, the monitoring objects have commonalities, that is, all belong to the current group type to be monitored, so in this embodiment, the monitoring points corresponding to the group types may be preset.

The data unit may determine a location to be monitored corresponding to the group type to be monitored based on the stored data, and recommend the determined area to be monitored to the application unit.

And S705, determining the monitoring range of the monitored object according to the place to be monitored.

After the application unit receives the places to be monitored, the monitoring range may be determined according to the places to be monitored, and in one possible implementation manner, for example, one or more places to be monitored may be directly selected as the monitoring range, or an upper area of the places to be monitored may be taken as the monitoring range, where the implementation manner is similar to the implementation manner of the individual objects described above, and will not be repeated herein.

S706, receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points.

And S707, if the comparison result is that the comparison is successful, determining that the monitoring object is monitored.

After the identity information to be compared and the monitoring range are determined, the implementation manner of S706 and S707 is similar to that of S306 and S307 described above, and will not be repeated here.

The object monitoring method provided by the embodiment of the application comprises the following steps: and receiving the input group type of the monitoring object as the group type to be monitored. And receiving identity information of at least one object to be monitored, which is recommended by the object monitoring system according to the group type to be monitored. And determining the identity information of at least one object to be monitored as identity information to be compared. And receiving the input group type of the monitoring object as the group type to be monitored. And receiving the to-be-monitored places recommended by the object monitoring system according to the group types to be monitored. And determining the monitoring range of the monitored object according to the place to be monitored. Receiving a comparison result, wherein the comparison result is obtained by comparing the identity information to be compared with the identity information in the corresponding track point data in a monitoring range for the identity information to be compared of any dimension by the object monitoring system; the corresponding track point data comprises track points and identity information of the same dimension acquired at the track points. If the comparison result is that the comparison is successful, the monitored object is determined to be monitored. Aiming at the monitoring objects of the group types, the monitoring places corresponding to the group types are preset, so that the determination of the monitoring range corresponding to the monitoring objects of the group types can be simply and effectively realized, and the monitoring of the group objects can be effectively realized in the embodiment, thereby effectively ensuring the flexibility and the universality of the monitoring.

On the basis of the above embodiment, the method for monitoring an object according to the embodiment of the present application is described below with reference to a more detailed unit division diagram, and fig. 9 is a unit division diagram of the method for monitoring an object according to the embodiment of the present application.

The various elements of fig. 9 are similar to those described above in the fig. 1 embodiment, and are described in further detail in the present fig. 9 embodiment, as shown in fig. 9:

the data unit may include a multidimensional identity subject library, an activity place subject library, and a multidimensional track subject library, where the first object is a person or a class of persons.

The multidimensional identity subject library can store identity elements of each dimension by taking a person as a basic unit, and the multidimensional identity subject library can comprise the above description, for example: face image, human body image, gait information, human body characteristics, license plate number, vehicle body image, certificate information and communication equipment information.

In one possible implementation, the data in the multidimensional identity subject database may be obtained by collecting identity data of a person through a related database and analyzing the identity data according to the identity data of the person, for example, the multidimensional identity subject database in units of each person may be formed according to Chang Kouku, a temporary opening database, a passport registry, a citizen card registry, a car management database, a mobile phone real name registry, a staff social security database, and the like according to the identity relationship of the person and the management of the business label of the person.

The active site subject library may include site information of each site, where the implementation of the site and site information may refer to the description in the above embodiment.

The multidimensional track subject database can comprise track point data generated by personnel at each place, wherein the track point data can comprise track information of the history period introduced above, and track point data obtained by real-time monitoring, namely the data in the multidimensional track subject database is updated in real time.

It will be appreciated that the trace point data included in the multi-dimensional trace subject library may be data of a plurality of persons present at various locations.

Wherein the track point data register an identification card and a mobile phone number, for example, when a hotel is in a hotel or the internet bar is on the internet; license plates are registered in a gas station and a parking lot, the license plates and vehicle images are captured by driving on the street, the vehicle is captured by walking on the street, and the license plates, the human face, the human body, the gait, the mobile phone MAC and the like can be used as track data of personnel.

In this embodiment, if the monitoring object needs to be monitored, the related identity information of the monitoring object may be first determined based on the described multidimensional identity subject library, taking the monitoring object as a person as an example.

In one possible implementation manner, a monitoring task may be issued for a person, for example, currently, the monitoring task is issued for the person a, then any one-dimensional identity element of the person a input by a user may be received, for example, an identity card or a mobile phone number is input, because each identity data of one person has an association relationship, the identity data of each dimension of the person a may be obtained, so as to obtain at least two kinds of object information of the first object, in an actual implementation process, the object information may be manually supplemented, for example, 3 vehicles under the name of the person a are determined through investigation, but only one vehicle is recorded in the data stored in the data unit, and relevant information of other two vehicles may be manually supplemented.

In addition, in this embodiment, the monitoring range corresponding to the person a may be determined according to the track point data of the person a in the history period, and the implementation manner of the monitoring range is described in the foregoing embodiment and is not described herein again.

In another possible implementation manner, for example, a monitoring task may be issued for a class of personnel, for example, a monitoring task is issued for a class i personnel currently, then a service tag of a class i personnel input by a user may be received, and then, in a multi-dimensional identity subject library, all personnel in a group type corresponding to the service tag are queried according to the service tag.

In this embodiment, the monitoring range may be determined according to the monitoring area associated with the group type, and the implementation manner of the monitoring range is already described in the foregoing embodiment, which is not described herein again.

The application unit may then issue a monitoring task to the comparison unit, where the monitoring task may include, for example, identity information to be compared of the monitored object, a monitoring range of the monitored object, and related parameters of monitoring, such as the similarity threshold for measuring similarity, or may further include monitoring time, monitoring duration, monitoring identifier, monitoring indication information, etc., where data related to the monitoring task may be sent to the comparison system when issuing the monitoring task.

In one possible implementation manner, the issued monitoring task may also indicate a time point of early warning, for example, early warning may be performed immediately when a destination track point where the monitoring object is located is determined, or early warning may also be performed when it is determined that the monitoring object leaves the destination track point.

In a possible implementation manner, the multi-dimensional track subject library in this embodiment collects and records track point data of the monitoring ranges in real time, and sends the track point data to the comparison unit, and it can be understood that the track point data in each monitoring range becomes track point data of the history period in the present application after being stored in the multi-dimensional track subject library.

In the comparing unit of the present embodiment, corresponding comparison is performed according to the identity information to be compared and the identity information in the track point data, where 10 comparison algorithms may be included: face comparison, gait comparison, human body comparison, vehicle map comparison, license plate comparison, certificate comparison, mobile phone number comparison, mobile phone MAC comparison, mobile phone detection code comparison and human body characteristic attribute comparison.

In one possible implementation, the comparison unit further includes a comparison policy management unit, where each comparison rule, such as face, body, gait comparison, etc., may be managed by the comparison policy management unit, and may be compared according to a similarity threshold.

In a possible implementation manner, the comparison policy management unit in this embodiment may further be provided with a group aggregation population number policy, for example, for a group object, where the early warning process is performed only when it is determined that the number of successfully-compared monitored objects is greater than a preset number.

It should be noted that, the existing monitoring systems at present are all isolated, the identities of the systems on the same person are different, for example, for person 1, the system a is identified as person 123, the system B is identified as person 234, when the system a and the system B monitor the person 1 at the same time, because the identities of the two systems on the person 1 are different, the two systems cannot draw a conclusion that the two systems monitor the person 1 at the same time, and then the accuracy of the subsequent use of the early warning data is affected, for example, when the number of times of monitoring the person 1 needs to be counted, the monitoring is actually monitored for 2 times, but the system a and the system B output a conclusion that the monitoring is monitored for 1 time respectively, and neither the system a nor the system B draw a conclusion that the monitoring is monitored for 2 times, which is inconsistent with the actual.

However, in the technical scheme of the application, the multidimensional information of the personnel is clustered together and integrated and stored in the data unit, so that the identity information based on the multiple dimensions of the personnel can be monitored, the integration of the early warning information can be realized, and the accuracy of early warning and the simplicity of the early warning information are ensured.

For another example, for a single object, the early warning process is performed only when it is determined that the number of times of successful comparison of the monitored objects is greater than the preset number of times, and in the actual implementation process, a specific policy included in the comparison policy management unit may be selected according to the actual requirement, which is not particularly limited in this embodiment.

When the comparison unit determines that the identity information to be compared is successfully compared with the identity information in the track point data, a comparison result of successful comparison can be sent to the application unit.

The application unit can display the early warning message based on a map or a list, wherein the displayed early warning information can comprise multi-dimensional identity information of a monitored object, identity information of an early warning in a comparison mode, early warning time and place, and track point details of the early warning, and the track point details of different places are different.

In one possible implementation manner, the effectiveness of the early warning can be judged by performing manual secondary grinding and judging by the user, and meanwhile, a treatment command can be selectively issued to the corresponding police alarm to treat.

Fig. 10 is a schematic structural diagram of an object monitoring device according to an embodiment of the present application. As shown in fig. 10, the apparatus 100 includes: a determination module 1001 and a receiving module 1002.

The determining module 1001 determines identity information of at least two dimensions of the monitored object as identity information to be compared;

the determining module 1001 is further configured to determine a monitoring range of the monitored object;

the receiving module 1002 is configured to receive a comparison result, where the comparison result is obtained by comparing, in the monitoring range, the identity information to be compared of the object monitoring system for the identity information to be compared of any dimension with the identity information in the corresponding track point data; the corresponding track point data comprises track points and identity information with the same dimension, wherein the identity information is acquired at the track points;

the determining module 1001 is further configured to determine that the monitored object is monitored if the comparison result is that the comparison is successful; and the successful comparison is successful in comparing the identity information to be compared in any dimension.

In one possible design, the monitoring object is an individual object; the determining module 1001 is specifically configured to:

receiving input identity information of a first dimension;

In one possible design, the monitoring object is a group object; the determining module 1001 is specifically configured to:

The device provided in this embodiment may be used to implement the technical solution of the foregoing method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.

Fig. 11 is another schematic structural diagram of an object monitoring device according to an embodiment of the present application. As shown in fig. 11, the apparatus 110 includes: a receiving module 1101 and a receiving module 1102.

A receiving module 1101, configured to receive indication information input to the object monitoring system, where the indication information is used to indicate identity information of a monitored object or a group type of the monitored object;

a determining module 1102, configured to determine and recommend identity information associated with the monitored object according to the indication information, where the associated identity information is used by the object monitoring system to determine identity information to be compared of the monitored object;

The determining module 1102 is further configured to determine and recommend, according to the identity information to be compared, a location to be monitored associated with the monitored object, where the associated location to be monitored is used by the object monitoring system to determine a monitoring range of the monitored object.

In one possible design, the monitoring object is an individual object, and the indication information includes identity information of a first dimension of the monitoring object; the determining module 1102 is specifically configured to:

In one possible design, the monitoring object is an individual object; the determining module 1102 is specifically configured to:

In one possible design, the monitoring object is a group object, and the indication information is a group type to be monitored; the determining module 1102 is specifically configured to:

In one possible design, the monitoring object is a group object; the indication information is the group type to be monitored; the determining module 1102 is specifically configured to:

Fig. 12 is a schematic hardware structure of an object monitoring device according to an embodiment of the present application, as shown in fig. 12, an object monitoring device 120 of the present embodiment includes: a processor 1201 and a memory 1202; wherein the method comprises the steps of

A memory 1202 for storing computer-executable instructions;

a processor 1201 is configured to execute computer-executable instructions stored in a memory to implement the steps performed by the object monitoring method in the above embodiment. Reference may be made in particular to the relevant description of the embodiments of the method described above.

Alternatively, the memory 1202 may be separate or integrated with the processor 1201.

When the memory 1202 is provided separately, the object monitoring device further comprises a bus 1203 for connecting said memory 1202 and the processor 1201.

The embodiment of the application also provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and when a processor executes the computer execution instructions, the object monitoring method executed by the object monitoring device is realized.

An object monitoring system according to an embodiment of the present application is also provided, and fig. 13 is a system schematic diagram of the object monitoring system provided by the embodiment of the present application, as shown in fig. 13, an object monitoring system 130 of the present embodiment includes: a first electronic device 1301 and a first electronic device 1302; wherein the method comprises the steps of

The first electronic device being adapted to perform the object monitoring method of any of claims 1-5 and the second electronic device being adapted to perform the object monitoring method of any of claims 6-10.

In one possible design, the object monitoring system further includes a comparing device 1303, configured to obtain, for the identity information to be compared of any one dimension, track point data of the dimension in the monitoring range from the data device; and comparing the identity information to be compared with the identity information in the track point data to obtain a comparison result, and sending the comparison result to the object monitoring equipment.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.

The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the application.

It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.

The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk or optical disk, etc.

The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.

The storage medium may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.

Claims

1. The object monitoring method is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the method comprises the following steps:

determining identity information of at least two dimensions of a monitoring object as identity information to be compared; the identity information to be compared is determined based on a plurality of different dimensional identity information of the monitored object stored in the object monitoring system in an associated manner;

determining a monitoring range of the monitoring object;

If the comparison result is that the comparison is successful, determining that the monitoring object is monitored; the successful comparison is successful in comparing the identity information to be compared in any dimension;

if the monitoring object is an individual object; the determining identity information of at least two dimensions of the monitoring object as identity information to be compared comprises:

receiving input identity information of a first dimension;

determining the identity information of the first dimension and the identity information of at least one second dimension as the identity information to be compared;

if the monitoring object is a group object; the determining identity information of at least two dimensions of the monitoring object as identity information to be compared comprises:

2. The object monitoring method is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the method comprises the following steps:

determining a monitoring range of the monitoring object; the monitoring range of the monitoring object is determined based on the recommended place to be monitored; if the monitoring object is an individual object, recommending the to-be-monitored place based on the identity information to be compared; if the monitoring object is a group object, recommending the place to be monitored based on the group type of the monitoring object;

if the monitoring object is an individual object; the determining the monitoring range of the monitoring object comprises the following steps:

receiving a to-be-monitored place recommended by the object monitoring system according to the identity information to be compared, wherein the to-be-monitored place is a track point with the occurrence frequency larger than or equal to a preset threshold value in target track point data, the target track point data is track point data with the identity information to be compared, which is determined from multi-dimensional track point data stored in the object monitoring system according to the identity information to be compared, the multi-dimensional track point data is track point data of a monitored object in a historical period, the historical period is a period before a current period, the historical period is opposite to the current period, the target track point data comprises a plurality of track point data, and each track point data is used for indicating the occurrence frequency of the monitored object in a corresponding track point;

Determining a monitoring range of the monitored object according to the to-be-monitored place;

if the monitoring object is a group object; the determining the monitoring range of the monitoring object comprises the following steps:

receiving a place to be monitored recommended by the object monitoring system according to the group type to be monitored, wherein the place to be monitored corresponding to each group type is stored in the object monitoring system;

3. The object monitoring method is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the method comprises the following steps:

according to the indication information, determining and recommending the identity information associated with the monitoring object, wherein the associated identity information is used for determining the identity information to be compared of the monitoring object by the object monitoring system; the identity information to be compared is determined based on a plurality of different dimensional identity information of the monitored object stored in the object monitoring system in an associated manner;

determining and recommending the place to be monitored associated with the monitoring object according to the identity information to be compared, wherein the place to be monitored associated is used for determining the monitoring range of the monitoring object by the object monitoring system;

if the monitoring object is an individual object, the indication information comprises identity information of a first dimension of the monitoring object; the step of determining and recommending the identity information associated with the monitoring object according to the indication information comprises the following steps:

determining and recommending identity information of at least one second dimension associated with the identity information of the first dimension from the multi-dimensional identity information stored in the object monitoring system according to the identity information of the first dimension input into the object monitoring system;

If the monitoring object is a group object, the indication information is a group type to be monitored; the step of determining and recommending the identity information to be compared of the monitoring object according to the indication information comprises the following steps:

4. The object monitoring method is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the method comprises the following steps:

determining and recommending the place to be monitored associated with the monitoring object according to the identity information to be compared, wherein the place to be monitored associated is used for determining the monitoring range of the monitoring object by the object monitoring system; if the monitoring object is an individual object, recommending the to-be-monitored place based on the identity information to be compared; if the monitoring object is a group object, recommending the place to be monitored based on the group type of the monitoring object;

if the monitoring object is an individual object; the determining and recommending the to-be-monitored place associated with the monitored object according to the to-be-compared identity information comprises the following steps:

determining target track point data with the identity information to be compared from multi-dimensional track point data stored in the object monitoring system according to the identity information to be compared, wherein the multi-dimensional track point data are track point data of a monitored object in a history period, the history period is a period before a current period, the target track point data comprise a plurality of track point data, and the occurrence frequency of each track point data is used for indicating the occurrence frequency of the monitored object in a corresponding track point;

Recommending the track points in the target track point data as the to-be-monitored places, wherein the to-be-monitored places are track points with the occurrence frequency larger than or equal to a preset threshold value;

if the monitoring object is a group object; the indication information is the group type to be monitored; the determining and recommending the to-be-monitored place associated with the monitored object according to the to-be-compared identity information comprises the following steps:

determining and recommending a place to be monitored corresponding to the group type to be monitored according to the group type to be monitored input into the object monitoring system; the group type to be monitored is a group type to which the monitored object belongs, and the object monitoring system stores the sites to be monitored corresponding to the group types.

5. The object monitoring device is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the device comprises:

The determining module is used for determining identity information of at least two dimensions of the monitoring object and taking the identity information as identity information to be compared; the identity information to be compared is determined based on a plurality of different dimensional identity information of the monitored object stored in the object monitoring system in an associated manner;

the determining module is further configured to determine that the monitored object is monitored if the comparison result is that the comparison is successful; the successful comparison is successful in comparing the identity information to be compared in any dimension;

if the monitoring object is an individual object; the determining module is specifically configured to:

receiving input identity information of a first dimension;

if the monitoring object is a group object; the determining module is specifically configured to:

6. The object monitoring device is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the device comprises:

the determining module is further used for determining a monitoring range of the monitoring object; the monitoring range of the monitoring object is determined based on the recommended place to be monitored; if the monitoring object is an individual object, recommending the to-be-monitored place based on the identity information to be compared; if the monitoring object is a group object, recommending the place to be monitored based on the group type of the monitoring object;

7. The object monitoring device is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the device comprises:

the determining module is used for determining and recommending the identity information associated with the monitoring object according to the indication information; the associated identity information is used for determining identity information to be compared of the monitored object by the object monitoring system; the identity information to be compared is determined based on a plurality of different dimensional identity information of the monitored object stored in the object monitoring system in an associated manner;

The determining module is further configured to determine and recommend, according to the identity information to be compared, a location to be monitored associated with the monitored object, where the associated location to be monitored is used by the object monitoring system to determine a monitoring range of the monitored object;

if the monitoring object is an individual object, the indication information comprises identity information of a first dimension of the monitoring object; the determining module is specifically configured to:

if the monitoring object is a group object, the indication information is a group type to be monitored; the determining module is specifically configured to:

8. The object monitoring device is applied to an object monitoring system and is characterized in that identity information of each dimension of the same monitored object is stored in the object monitoring system aiming at the same monitored object, the identity information of each dimension of the same monitored object is obtained by taking the monitored object as a unit and storing the identity data of each dimension which are stored in different monitoring system databases in a scattered manner, and the identity information of each dimension comprises body dimension identity information and other dimension identity information, and the body dimension identity information comprises at least one of a face diagram and a body diagram; the identity information of each dimension is used for monitoring and comparing; the device comprises:

the determining module is used for determining and recommending the identity information associated with the monitoring object according to the indication information; the associated identity information is used for determining identity information to be compared of the monitored object by the object monitoring system;

the determining module is further configured to determine and recommend, according to the identity information to be compared, a location to be monitored associated with the monitored object, where the associated location to be monitored is used by the object monitoring system to determine a monitoring range of the monitored object; if the monitoring object is an individual object, recommending the to-be-monitored place based on the identity information to be compared; if the monitoring object is a group object, recommending the place to be monitored based on the group type of the monitoring object;

if the monitoring object is a group object; the indication information is the group type to be monitored; the determining module is specifically configured to:

9. An object monitoring device, comprising:

a memory for storing a program;

a processor for executing the program stored by the memory, the processor being for performing the method of any one of claims 1, 2, 3 or 4 when the program is executed.

10. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1, 2, 3 or 4.

11. An object monitoring system, comprising: a first electronic device and a second electronic device;

Wherein the first electronic device is configured to perform the method of any of claims 1, 2 and the second electronic device is configured to perform the method of any of claims 3, 4.