CN109656973A - A kind of target object association analysis method and device - Google Patents
A kind of target object association analysis method and device Download PDFInfo
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- CN109656973A CN109656973A CN201811452014.1A CN201811452014A CN109656973A CN 109656973 A CN109656973 A CN 109656973A CN 201811452014 A CN201811452014 A CN 201811452014A CN 109656973 A CN109656973 A CN 109656973A
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Abstract
The present invention provides a kind of target object association analysis method and device, method includes: to obtain target object to be analyzed；Multidimensional Awareness data set is searched, the target trajectory of the target object is obtained；Wherein, the target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is used for storage track；Obtain related information；Based on the related information and each target trajectory point, the Multidimensional Awareness data set is searched, determines the association tracing point near each target trajectory point；For each target trajectory point, a target association tracing point is determined from the association tracing point near the target trajectory point；Determine each affiliated partner belonging to each target association tracing point；Calculate the association rank of each affiliated partner；According to the association rank of each affiliated partner, target association object is determined, complete the association analysis to the target object.Using the embodiment of the present invention, the efficiency and accuracy rate of association analysis are improved.
Description
Technical field
The present invention relates to intelligent security guard field more particularly to a kind of target object association analysis methods and device.
Background technique
In order to reinforce the security protection in city, it usually needs analyze certain target objects, to determine and the mesh
The related affiliated partner of object is marked, the affiliated partner of target object and the target object would generally frequently flock together.
Currently, existing target object association analysis method mainly uses manual analysis method either using video point
The method of analysis, the former relies primarily on the analysis ability of staff, due to needing to carry out a large amount of investigation and statistics, results in the need for
It takes a substantial amount of time and energy, therefore efficiency is lower；The latter needs that the face in video is analyzed and identified, due to video
Data volume is big, therefore analysis time is longer, and efficiency is relatively low.
It is therefore desirable to design a kind of new target object association analysis method, to overcome the above problem.
Summary of the invention
It is an object of the invention to overcome the defect of the prior art, a kind of target object association analysis method and dress are provided
It sets, to realize the efficiency and accuracy rate that improve association analysis.
The present invention is implemented as follows:
In a first aspect, the present invention provides a kind of target object association analysis method, which comprises
Obtain target object to be analyzed；Multidimensional Awareness data set is searched, the target trajectory of the target object is obtained；Its
In, the target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is used for storage track；
Obtain related information；Based on the related information and each target trajectory point, the Multidimensional Awareness data set is searched,
Determine the association tracing point near each target trajectory point；
For each target trajectory point, a target association rail is determined from the association tracing point near the target trajectory point
Mark point；
Determine each affiliated partner belonging to each target association tracing point；Calculate the association rank of each affiliated partner；According to each
The association rank of affiliated partner determines target association object, completes the association analysis to the target object.
Optionally, the association rank of each affiliated partner is calculated, comprising:
For each affiliated partner, the quantity of the target association tracing point of the affiliated partner will be belonged to as the affiliated partner
Association rank.
Optionally, the related information includes default association rank；According to the association rank of each affiliated partner, target is determined
Affiliated partner, comprising:
Association rank is greater than the default other affiliated partner of level of association as target association object.
Optionally, the related information includes time threshold and association type, tracing point include object type, time point and
Place is based on the related information and each target trajectory point, searches the Multidimensional Awareness data set, determine each target trajectory point
Neighbouring association tracing point, comprising:
For each target trajectory point, the Multidimensional Awareness data set is searched, by object in the Multidimensional Awareness data set
Type belongs to the absolute value of the difference at the time point of the association type, time point and the target trajectory point no more than the time threshold
Value and place tracing point identical with the place of the target trajectory point are determined as being associated with tracing point near the target trajectory point.
Optionally, for each target trajectory point, a mesh is determined from the association tracing point near the target trajectory point
Mark association tracing point, comprising:
For each target trajectory point, the pass for determining that time point is earliest in tracing point is associated near the target trajectory point
Join tracing point, as target association tracing point.
Optionally, after determining target association object, the method also includes:
When detecting secondary analysis instruction, using the target association object as the target object, returns to execute and look into
The step of looking for Multidimensional Awareness data set, obtaining the target trajectory of the target object.
Optionally, target object to be analyzed is obtained, comprising:
Obtain the target object that user is inputted by human-computer interaction interface.
Optionally, after obtaining target object to be analyzed, the method also includes:
Format check is carried out to target object obtained；
If executing by format check and searching Multidimensional Awareness data set, obtain the target trajectory of the target object
Step；
If being generated for reminding the prompt information for re-entering target object, and described in display not by format check
Prompt information.
Second aspect, the present invention provide a kind of target object association analysis device, and described device includes:
First obtains module, for obtaining target object to be analyzed；Multidimensional Awareness data set is searched, the target is obtained
The target trajectory of object；Wherein, the target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is for depositing
Store up track；
Second obtains module, for obtaining related information；Based on the related information and each target trajectory point, institute is searched
Multidimensional Awareness data set is stated, determines the association tracing point near each target trajectory point；
First determining module, for being directed to each target trajectory point, from the association tracing point near the target trajectory point
Determine a target association tracing point；
Second determining module, for determining each affiliated partner belonging to each target association tracing point；Calculate each affiliated partner
Association rank；According to the association rank of each affiliated partner, target association object is determined, complete the association to the target object
Analysis.
Optionally, the second determining module calculates the association rank of each affiliated partner, specifically:
For each affiliated partner, the quantity of the target association tracing point of the affiliated partner will be belonged to as the affiliated partner
Association rank.
Optionally, the related information includes default association rank；Second determining module is according to the association of each affiliated partner
Rank determines target association object, comprising:
Association rank is greater than the default other affiliated partner of level of association as target association object.
Optionally, the related information includes time threshold and association type, tracing point include object type, time point and
Place, second, which obtains module, is based on the related information and each target trajectory point, searches the Multidimensional Awareness data set, determines
Association tracing point near each target trajectory point, specifically:
For each target trajectory point, the Multidimensional Awareness data set is searched, by object in the Multidimensional Awareness data set
Type belongs to the absolute value of the difference at the time point of the association type, time point and the target trajectory point no more than the time threshold
Value and place tracing point identical with the place of the target trajectory point are determined as being associated with tracing point near the target trajectory point.
Optionally, the first determining module is directed to each target trajectory point, from the association tracing point near the target trajectory point
One target association tracing point of middle determination, specifically:
For each target trajectory point, the pass for determining that time point is earliest in tracing point is associated near the target trajectory point
Join tracing point, as target association tracing point.
Optionally, described device further includes secondary analysis module, is used for:
After determining target association object, when detect secondary analysis instruction when, using the target association object as
The target object returns to execute and searches Multidimensional Awareness data set, obtains the target trajectory of the target object.
Optionally, the first acquisition module obtains target object to be analyzed, specifically:
Obtain the target object that user is inputted by human-computer interaction interface.
Optionally, described device further includes format check module, is used for:
After obtaining target object to be analyzed, format check is carried out to target object obtained；
If executing by format check and searching Multidimensional Awareness data set, obtain the target trajectory of the target object；
If being generated for reminding the prompt information for re-entering target object, and described in display not by format check
Prompt information.
The invention has the following advantages: Multidimensional Awareness data set can be searched using the embodiment of the present invention, determine each
Association tracing point near target trajectory point can be from the association rail near the target trajectory point for each target trajectory point
A target association tracing point is determined in mark point；Determine each affiliated partner belonging to each target association tracing point；Calculate each association
The association rank of object；According to the association rank of each affiliated partner, target association object is determined.Compared to existing target object
For association analysis mode, association analysis efficiency is improved, and only determine that a target is closed for each target trajectory point
Join tracing point, avoids repetition statistics target association tracing point, therefore, improve the accuracy rate of association analysis.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow diagram of target object association analysis method provided in an embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of target object association analysis device provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
It should be noted that target object association analysis method provided by the present invention can be applied to electronic equipment,
In, in a particular application, which can be computer, PC, plate, mobile phone etc., this is all reasonable.
Referring to Fig. 1, the embodiment of the present invention provides a kind of target object association analysis method, and method includes the following steps:
S101, target object to be analyzed is obtained；Multidimensional Awareness data set is searched, the target track of the target object is obtained
Mark；Wherein, target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is used for storage track；
Target object can be object to be analyzed, for example, it may be license plate number, face picture, identification card number, RFID
(Radio Frequency Identification, radio frequency identification) label, MAC Address (Media Access Control
Address, media access control address) or IMSI (International Mobile Subscriber
Identification Number, international mobile subscriber identity), IMEI (International Mobile Equipment
One of Identity, international mobile equipment identification number) etc., target object can have one or more.
Target object to be analyzed is obtained, may include:
Obtain the target object that user is inputted by human-computer interaction interface.
Human-computer interaction interface can provide input frame, user can be inputted by input frame ID card No., facial image,
The target objects such as license plate number, electronic equipment can obtain target object by human-computer interaction interface.Electronic equipment and human-computer interaction
Terminal where interface can be individually present, and can also be mutually integrated, which is not limited by the present invention.
When the terminal where electronic equipment and human-computer interaction interface is individually present, the terminal where human-computer interaction interface exists
After obtaining target object, target object can be sent to electronic equipment, so that electronic equipment can obtain target object；Work as electricity
When terminal where sub- equipment and human-computer interaction interface is mutually integrated, electronic equipment be can be read directly obtained by human-computer interaction interface
Target object.
In another implementation, after obtaining target object to be analyzed, the method also includes:
Format check is carried out to target object obtained；
If executing by format check and searching Multidimensional Awareness data set, obtain the target trajectory of the target object
Step；
If being generated for reminding the prompt information for re-entering target object, and described in display not by format check
Prompt information.
Whether format check, which can meet preset call format to target object, verifies, for example, working as target object
When for face picture, can image type to face picture, size carry out format check, if the face picture meet it is preset
Image type and preset size, then otherwise the face picture, can not pass through format check by format check.Actually answer
In, for the method for the specific format check of different types of target object, can design according to demand, the present invention to this not
It limits.
In addition, in other embodiments, in addition to obtaining target object, object time range and target can also be obtained
Point range, so that resulting target trajectory is that time point belongs to the object time range and place belongs to the rail of target location range
Mark.
It, can be with after generating prompt information when the terminal where electronic equipment and human-computer interaction interface is individually present
It will be prompted to the terminal that information is sent to where human-computer interaction interface.
S102, related information is obtained；Based on the related information and each target trajectory point, the Multidimensional Awareness number is searched
According to collection, the association tracing point near each target trajectory point is determined；Wherein, related information includes default association rank；
The related information that user is inputted by human-computer interaction interface can be obtained, related information may include default level of association
Not, time threshold and association type etc., default association rank can be numeric type, and numerical value is higher, represents affiliated partner and mesh
The correlation degree for marking object is higher, and time threshold can be used for reflecting time point and the target object of the tracing point of affiliated partner
The extent of deviation of tracing point, time threshold can be 30 seconds, 20 seconds, 10 seconds etc..Association type may include one or more
Type, for example, may include facial image class, identity card class, license plate class etc..
After obtaining related information, format check can also be carried out to related information, for example, to time threshold, default pass
Connection rank, association type carry out format check respectively, if time threshold less than 30 seconds, determines that time threshold passes through format school
It tests；If default association rank belongs to numeric type, determine that default association rank passes through format check；If association type belongs to default
Object type set then determines that association type passes through format check.
Each tracing point is used to record the time point of object appearance and place, all tracing points of some object connect
Come, just forms the track of the object.Each tracing point may include object type, object identity, time point and place, object class
Type can be one of facial image class, identity card class, license plate class, MAC Address class, IMSI class, IMEI class etc., object identity
Can for specific face picture, ID card No., license plate number, MAC Address, IMSI or IMEI occurrence.Object identity can
Uniquely to identify object, the object that tracing point is characterized is i.e. are as follows: the object with object identity in the tracing point.
Based on the related information and each target trajectory point, the Multidimensional Awareness data set is searched, determines each target track
Association tracing point near mark point, comprising:
For each target trajectory point, the Multidimensional Awareness data set is searched, by object in the Multidimensional Awareness data set
Type belongs to the absolute value of the difference at the time point of the association type, time point and the target trajectory point no more than the time threshold
Value and place tracing point identical with the place of the target trajectory point are determined as being associated with tracing point near the target trajectory point.
Association type may include multiple types, can be with when some type that object type includes by association type
Think that object type belongs to association type, for example, association type includes facial image class, identity card class and license plate class, then object
When type is facial image class, identity card class or license plate class, object type belongs to the association type.
Assuming that time threshold be 30 seconds, when the time point of some object and the time point of the target trajectory point difference it is absolute
When value was no more than 30 seconds, show that the time difference of the object and target object meets time range requirement.
Illustratively, time threshold RT, time point of k-th target trajectory point are pk, place tk, and association type is
Facial image class, then it is facial image class, time point that the association tracing point near k-th target trajectory point, which includes: object type,
In the time range of pk-RT to pk+RT and place tk tracing point.
Multidimensional Awareness data set is used for storage track, and Multidimensional Awareness data set can store in electronic equipment, or storage
Track in storage server or storage server cluster independently of electronic equipment, Multidimensional Awareness data set is from acquisition
The track data of equipment acquisition.
Acquisition equipment can have one or more, such as may include vehicle bayonet camera, data acquisition server, base
Stand etc., each acquisition equipment can acquire a kind of or multiclass track data, for example, the rail that vehicle bayonet camera can acquire
Mark data include: license plate number track data, facial image track data etc., the track data that data acquisition server can acquire
It include: identification card number track data, facial image track data, bank's card number track data etc., the track that base station can acquire
Data include: identification card number track data, cell-phone number track data, license plate number track data, facial image track data and silver
Row card number track data, MAC Address track data, IMSI track data, IMEI track data etc..
By obtaining the track data of multiple acquisition equipment acquisitions, and by all kinds of track datas obtained with Multidimensional Awareness
The form of data set stores, and can obtain more fully basic data source, be conducive to more fully be associated target object
Analysis, the accuracy of improvement method.
In other embodiments, it is based on the related information and each target trajectory point, searches the Multidimensional Awareness number
According to collection, the association tracing point near each target trajectory point is determined, comprising:
For each target trajectory point, the Multidimensional Awareness data set is searched, by object in the Multidimensional Awareness data set
Type belongs to the absolute value of the difference at the time point of the association type, time point and the target trajectory point no more than the time threshold
The tracing point that value and place belong to the ground point range of the target trajectory point is determined as the association tracing point near the target trajectory point,
The ground point range of the target trajectory point is centered on the place of the target trajectory point, using preset value as the region of radius.Association
Information may include the preset value.
S103, it is directed to each target trajectory point, a target is determined from the association tracing point near the target trajectory point
It is associated with tracing point；
Specifically, being directed to each target trajectory point, a mesh is determined from the association tracing point near the target trajectory point
Mark association tracing point, comprising:
For each target trajectory point, the pass for determining that time point is earliest in tracing point is associated near the target trajectory point
Join tracing point, as target association tracing point.
Since acquisition equipment is when acquiring data, it may be directed to same target, it may in some place and time range
It can acquire repeatedly, thus, multiple association tracing points near a target trajectory point may belong to an object, it is possible to understand that
, in order to avoid repeating to be associated with, the tracing point of same target should be only denoted as once near target trajectory point.
Assuming that the association tracing point near the 1st target trajectory point includes: rt1, rt2, rt3...rtn, and rt1 to rtn
It is temporally ascending sort, the time point of the 1st target trajectory point is p1, place t1, then near the 1st target trajectory point
And the association tracing point that belongs to same target b1 can be indicated with following formula:
Wherein, the quantity for being associated with tracing point that m indicates near the 1st target trajectory point and belongs to same target b1, rti
=(ai, ci, bi, di) indicates i-th of association tracing point near the 1st target trajectory point, and ai, ci, bi, di respectively indicate this
Object type, time point, object identity and the place of i-th of association tracing point；RO indicates association type；RT indicates time threshold
Value.
Based on above-mentioned example, the target association tracing point of the 1st target trajectory point are as follows:
Assuming that a total of n target trajectory point, then the association track that all target association tracing points are formed can indicate are as follows:
In other embodiments, it can also be directed to each target trajectory point, from the association rail near the target trajectory point
The smallest association tracing point of time point difference is determined in mark point, as target association tracing point, the time point of some tracing point is poor
Value are as follows: the absolute value of the difference at the time point at the time point and target trajectory point of the tracing point.Alternatively, can also be from morning at time point
The smallest association tracing point of time point difference is determined in the association tracing point of the target trajectory point, as target association track
Point.
S104, each affiliated partner belonging to each target association tracing point is determined；Calculate the association rank of each affiliated partner；Root
According to the association rank of each affiliated partner, target association object is determined, complete the association analysis to the target object.
Specifically, calculating the association rank of each affiliated partner, comprising:
For each affiliated partner, the quantity of the target association tracing point of the affiliated partner will be belonged to as the affiliated partner
Association rank.
It is understood that each target trajectory point corresponds to a target association tracing point, different target association rails
Mark point can belong to an affiliated partner, if the quantity of the target association tracing point of affiliated partner is more, show the association pair
A possibility that as occurring simultaneously with target object, is bigger, so as to using the affiliated partner as target association object.
In other embodiments, the association rank of each affiliated partner can also be calculated using other modes, illustratively,
Each target association tracing point can be corresponding with weight factor, can will belong to the power of the target association tracing point of same affiliated partner
Repeated factor is added, the association rank as the affiliated partner.Wherein, each target trajectory point can be preset with weight factor, often
The corresponding weight factor of one target association tracing point are as follows: the weight of target trajectory point corresponding to the target association tracing point because
Son.
In a kind of implementation, according to the association rank of each affiliated partner, target association object is determined, comprising: will be associated with
The maximum affiliated partner of rank is as target association object；Alternatively,
In another implementation, related information includes default association rank, according to the association rank of each affiliated partner, really
Set the goal affiliated partner, comprising: association rank is greater than the default other affiliated partner of level of association as target association object.
As it can be seen that realizing the association analysis to target object using technical solution provided in an embodiment of the present invention, improving
The efficiency and accuracy rate of association analysis.
In one implementation, after determining target association object, the method also includes:
When detecting secondary analysis instruction, using the target association object as the target object, returns to execute and look into
The step of looking for Multidimensional Awareness data set, obtaining the target trajectory of the target object.
When the terminal locating for the human-computer interaction interface is electronic equipment, when electronic equipment detects that user clicks secondary analysis
When button, secondary analysis instruction can be confirmly detected；Alternatively, when electronic equipment detects that user chooses secondary analysis selection
Frame, and when detecting confirmation analysis button, secondary analysis instruction can be confirmly detected.
When the terminal locating for the human-computer interaction interface is another communication equipment, when to detect that user clicks secondary for communication equipment
When analysis button, secondary analysis instruction can be generated, and the secondary analysis can be instructed and be sent to electronic equipment, when electronics is set
When for receiving secondary analysis instruction, it is believed that detect that secondary analysis instructs.
When user can not determine real target object, the target object inputted for the first time may be alternative objects, therefore
The target association object obtained for the first time may be alternative affiliated partner, in turn, can will be used as in alternative affiliated partner to be analyzed
Target object, continue to analyze, to obtain new target association object, realize in the uncertain situation of target object
Under, target association object is obtained, the versatility and flexibility of method are further improved.
After determining target association object, the identity data of target association object and target object can also be touched
Analysis is hit, and shows crash analysis as a result, to more clear, intuitive embodiment target object and mesh in the form of chart and track
Mark the relationship between affiliated partner.
Corresponding with above-mentioned embodiment of the method, the embodiment of the present invention also provides a kind of target object association analysis device.
Referring to fig. 2, Fig. 2 is a kind of structural representation of target object association analysis device provided by the embodiment of the present invention
Figure, described device include:
First obtains module 201, for obtaining target object to be analyzed；Multidimensional Awareness data set is searched, is obtained described
The target trajectory of target object；Wherein, the target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is used
In storage track；
Second obtains module 202, for obtaining related information；Based on the related information and each target trajectory point, look into
The Multidimensional Awareness data set is looked for, determines the association tracing point near each target trajectory point；
First determining module 203, for being directed to each target trajectory point, from the association tracing point near the target trajectory point
One target association tracing point of middle determination；
Second determining module 204, for determining each affiliated partner belonging to each target association tracing point；Calculate each association pair
The association rank of elephant；According to the association rank of each affiliated partner, target association object is determined, complete the pass to the target object
Connection analysis.
As it can be seen that Multidimensional Awareness data set can be searched using the embodiment of the present invention, the pass near each target trajectory point is determined
A target can be determined for each target trajectory point from the association tracing point near the target trajectory point by joining tracing point
It is associated with tracing point；Determine each affiliated partner belonging to each target association tracing point；Calculate the association rank of each affiliated partner；According to
The association rank of each affiliated partner, determines target association object.For existing target object association analysis mode, mention
High association analysis efficiency, and a target association tracing point is only determined for each target trajectory point, avoid repetition
Target association tracing point is counted, therefore, improve the accuracy rate of association analysis.
Optionally, the second determining module 204 calculates the association rank of each affiliated partner, specifically:
For each affiliated partner, the quantity of the target association tracing point of the affiliated partner will be belonged to as the affiliated partner
Association rank.
Optionally, the related information includes default association rank；Second determining module 204 is according to the pass of each affiliated partner
Join rank, determine target association object, comprising:
Association rank is greater than the default other affiliated partner of level of association as target association object.
Optionally, the related information includes time threshold and association type, tracing point include object type, time point and
Place, second, which obtains module 202, is based on the related information and each target trajectory point, searches the Multidimensional Awareness data set,
Determine the association tracing point near each target trajectory point, specifically:
For each target trajectory point, the Multidimensional Awareness data set is searched, by object in the Multidimensional Awareness data set
Type belongs to the absolute value of the difference at the time point of the association type, time point and the target trajectory point no more than the time threshold
Value and place tracing point identical with the place of the target trajectory point are determined as being associated with tracing point near the target trajectory point.
Optionally, the first determining module 203 is directed to each target trajectory point, from the association track near the target trajectory point
A target association tracing point is determined in point, specifically:
For each target trajectory point, the pass for determining that time point is earliest in tracing point is associated near the target trajectory point
Join tracing point, as target association tracing point.
Optionally, described device further includes secondary analysis module, is used for:
After determining target association object, when detect secondary analysis instruction when, using the target association object as
The target object returns to execute and searches Multidimensional Awareness data set, obtains the target trajectory of the target object.
Optionally, the first acquisition module 201 obtains target object to be analyzed, specifically:
Obtain the target object that user is inputted by human-computer interaction interface.
Optionally, described device further includes format check module, is used for:
After obtaining target object to be analyzed, format check is carried out to target object obtained；
If executing by format check and searching Multidimensional Awareness data set, obtain the target trajectory of the target object；
If being generated for reminding the prompt information for re-entering target object, and described in display not by format check
Prompt information.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of target object association analysis method, which is characterized in that the described method includes:
Obtain target object to be analyzed；Multidimensional Awareness data set is searched, the target trajectory of the target object is obtained；Wherein,
The target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is used for storage track；
Obtain related information；Based on the related information and each target trajectory point, the Multidimensional Awareness data set is searched, is determined
Association tracing point near each target trajectory point；
For each target trajectory point, a target association track is determined from the association tracing point near the target trajectory point
Point；
Determine each affiliated partner belonging to each target association tracing point；Calculate the association rank of each affiliated partner；According to each association
The association rank of object determines target association object, completes the association analysis to the target object.
2. the method according to claim 1, wherein calculating the association rank of each affiliated partner, comprising:
For each affiliated partner, the quantity of the target association tracing point of the affiliated partner will be belonged to as the pass of the affiliated partner
Join rank.
3. method according to claim 1 or 2, which is characterized in that the related information includes default association rank；According to
The association rank of each affiliated partner, determines target association object, comprising:
Association rank is greater than the default other affiliated partner of level of association as target association object.
4. the method according to claim 1, wherein the related information includes time threshold and association type,
Tracing point includes object type, time point and place, is based on the related information and each target trajectory point, searches the multidimensional
Perception data collection determines the association tracing point near each target trajectory point, comprising:
For each target trajectory point, the Multidimensional Awareness data set is searched, by object type in the Multidimensional Awareness data set
Belong to the association type, time point and the target trajectory point time point absolute value of the difference no more than the time threshold and
Place tracing point identical with the place of the target trajectory point is determined as being associated with tracing point near the target trajectory point.
5. the method according to claim 1, wherein be directed to each target trajectory point, it is attached from the target trajectory point
A target association tracing point is determined in close association tracing point, comprising:
For each target trajectory point, the association rail for determining that time point is earliest in tracing point is associated near the target trajectory point
Mark point, as target association tracing point.
6. the method according to claim 1, wherein the method is also wrapped after determining target association object
It includes:
When detecting secondary analysis instruction, using the target association object as the target object, it is more to return to execution lookup
Wei Ganzhishuojuji, the step of obtaining the target trajectory of the target object.
7. the method according to claim 1, wherein obtaining target object to be analyzed, comprising:
Obtain the target object that user is inputted by human-computer interaction interface.
8. the method according to the description of claim 7 is characterized in that the method is also after obtaining target object to be analyzed
Include:
Format check is carried out to target object obtained；
If by format check, the step of executing and search Multidimensional Awareness data set, obtain the target trajectory of the target object；
If not generating by format check for reminding the prompt information for re-entering target object, and show the prompt
Information.
9. a kind of target object association analysis device, which is characterized in that described device includes:
First obtains module, for obtaining target object to be analyzed；Multidimensional Awareness data set is searched, the target object is obtained
Target trajectory；Wherein, the target trajectory is formed by each target trajectory point；The Multidimensional Awareness data set is for storing rail
Mark；
Second obtains module, for obtaining related information；Based on the related information and each target trajectory point, search described more
Wei Ganzhishuojuji determines the association tracing point near each target trajectory point；
First determining module is determined from the association tracing point near the target trajectory point for being directed to each target trajectory point
One target association tracing point；
Second determining module, for determining each affiliated partner belonging to each target association tracing point；Calculate the pass of each affiliated partner
Join rank；According to the association rank of each affiliated partner, target association object is determined, complete the association point to the target object
Analysis.
10. device according to claim 9, which is characterized in that second determining module calculates the pass of each affiliated partner
Join rank, specifically:
For each affiliated partner, the quantity of the target association tracing point of the affiliated partner will be belonged to as the pass of the affiliated partner
Join rank.
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| CN110837606A (en) * | 2019-11-04 | 2020-02-25 | 北京明略软件系统有限公司 | Spatio-temporal data fusion query method, device, server and storage medium |
| CN113326410A (en) * | 2020-02-28 | 2021-08-31 | 拓尔思天行网安信息技术有限责任公司 | Method and device for analyzing behavior trajectory of relational person based on space-time correlation |
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