CN106454716A - Object analyzing method, object analyzing equipment and object analyzing system - Google Patents
Object analyzing method, object analyzing equipment and object analyzing system Download PDFInfo
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- CN106454716A CN106454716A CN201510496342.1A CN201510496342A CN106454716A CN 106454716 A CN106454716 A CN 106454716A CN 201510496342 A CN201510496342 A CN 201510496342A CN 106454716 A CN106454716 A CN 106454716A
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Abstract
The invention provides an object analyzing method, object analyzing equipment and an object analyzing system. The object analyzing method comprises the steps of determining a visitor orientation direction and a visitor movement track trend; and determining interest degree grade of at least partial objects at the periphery of a movement track of a visitor based on the orientation direction and the movement track trend. Because a relation between the object and the visitor is considered, accuracy of the acquired interest degree grade is effectively improved.
Description
Technical field
The present invention relates to wireless communication technology field, more particularly, to a kind of object analysis method, object analysis set
Standby and object analysis system.
Background technology
Generally using following methods, the pouplarity of showpiece is ranked up at present.The first solution is：
Sequence based on showpiece feature and recommendation.The problem of this solution is, collects the whole of a showpiece
Feature is difficult to, and is restricted with real-time sequence in high precision.Second solution is：In conjunction with the interaction of user,
Judge the pouplarity of showpiece, such as questionnaire survey, but this method does not account for exhibition position and visitor
Between dependency, and need the action of visitor's active it is impossible to realize auto-sequencing, nor cover complete
The visitor in portion and whole showpieces.The third solution：Auto-sequencing and recommendation are realized by Visitor Location,
But this scheme does not account for the dependency between showpiece and visitor, do not account for the access path of visitor yet
This data.
In United States Patent (USP) US201012711130A, describe one kind and utilize location information, excavate between exhibition position
Dependency ground method, the method sets up location model, and the track of visitor using the position data of GPS,
The dwell point extracting static state from the track of motion is used for setting up location model.Each visitor's time of staying surpasses
Cross the stays static point of threshold value, in conjunction with a certain distance threshold value, represent the geographic area of.The position of visitor
Putting historical information and being formed is based on a series of stays static points extracting, and then recognizes the position of exhibition position.
In conjunction with the access historical information of visitor, by weighting scheme, calculate the degree of association between the position of exhibition position.?
In United States Patent (USP) US201012718938A, describe a kind of method of the relevancy ranking based on map search,
Search Results are made up of the position that position and the recommendation of visitor access, the guest access based on record for these positions
Data；The handheld device that visitor carries with asynchronously data reporting, these data are received, are recorded,
Represent the access data of visitor；The handheld device that visitor carries to the current position of System Reports oneself, and
And with current timestamp information.Handheld device both can report single position coordinateses it is also possible to report one
The position coordinateses set that the section time collects.But such scheme is also without in view of between showpiece and visitor
Dependency, does not account for this data of access path of visitor yet.
In view of above-mentioned situation it is necessary to provide a kind of object analysis method, object analysis equipment and right
Picture analysis system the pouplarity of showpiece is analyzed.
Content of the invention
The purpose of the present invention is to solve the problems of the prior art at least in part.
According to one aspect of the present invention, there is provided a kind of object analysis method, including：Determine the court of visitor
Movement locus trend to orientation and visitor；Based on towards orientation and movement locus trend, determine visitor to fortune
The level of interest grade of at least part of object around dynamic rail mark.
According to another aspect of the present invention, additionally provide a kind of object analysis method, including：Determine visitor
The movement locus trend towards orientation and visitor；Obtain the access history letter of at least part of object of guest access
Breath；Around towards orientation, movement locus trend and access historical information, determining visitor to movement locus
At least part of object level of interest grade.
According to another aspect of the present invention, additionally provide a kind of object analysis equipment, including：First determination mould
Block, is configured to determine that the movement locus trend towards orientation and described visitor of visitor；Second determining module,
It is configured to, based on towards orientation and movement locus trend, determine visitor at least part of around movement locus
The level of interest grade of object.
According to another aspect of the present invention, additionally provide a kind of object analysis equipment, including：5th determination mould
Block, is configured to determine that the movement locus trend towards orientation and visitor of visitor；Acquisition module, is configured
For obtaining the access historical information of at least part of object of guest access；6th determining module, is configured to be based on
Described towards orientation, described movement locus trend and described access historical information, determine described visitor to motion
The level of interest grade of at least part of object around track.
According to another aspect of the present invention, additionally provide a kind of object analysis system, including：Wireless signal base
Stand, also include object analysis equipment as above, wherein wireless signal base station is wireless with object analysis equipment
Connect.
The invention has the beneficial effects as follows：Being based on determines visitor to movement locus towards orientation and movement locus trend
The level of interest grade of at least part of object of surrounding, contacts due to considering the pass between object and visitor,
Effectively increase the accuracy of obtained level of interest grade.
Brief description
Fig. 1 is the flow chart of the object analysis method of the first embodiment of the present invention；
Fig. 2 is the flow chart of the object analysis method of the second embodiment of the present invention；
Fig. 3 is the flow chart of the object analysis method of the third embodiment of the present invention；
Fig. 4 is the flow chart of the object analysis method of the fourth embodiment of the present invention；
Fig. 5 is the flow chart of the object analysis method of the fifth embodiment of the present invention；
Fig. 6 is the flow chart of step S531 in Fig. 5；
Fig. 7 is the flow chart of step S532 in Fig. 5 and S533；
Fig. 8 is the flow chart of step S541 in Fig. 5 and step S542；
Fig. 9 a and Fig. 9 b is the schematic diagram of movement tendency in each embodiment；
Figure 10 is the flow chart of step S55 in Fig. 5；
Figure 11 is the flow chart of step S52 in Fig. 5；
Figure 12 is the flow chart of step S56 in Fig. 5；
Figure 13 is the schematic diagram of the application scenarios of various embodiments of the present invention；
Figure 14 is the structure chart of the object analysis equipment of the sixth embodiment of the present invention；
Figure 15 is the structure chart of the object analysis equipment of the seventh embodiment of the present invention；And
Figure 16 is the schematic diagram of the object analysis system of the eighth embodiment of the present invention.
Specific embodiment
It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings.Although showing in accompanying drawing
The exemplary embodiment of the disclosure it being understood, however, that may be realized in various forms the disclosure and should be by
Embodiments set forth here is limited.On the contrary, these embodiments are provided to be able to be best understood from this
Open, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
First embodiment
The application scenarios of the object analysis method of the present embodiment can be MICE (i.e. Meetings (meeting),
Incentives (incentive tour), Conferencing/Conventions (large enterprise's meeting),
Exhibitions/Exposition (activity exhibition) and the first letter capitalization of Event (section thing activity)
Composition, is the english abbreviation of exhibitions), such as car exhibition, market etc..Of course, it should be understood that in this enforcement
Application scenarios, and the particular type not limiting object is not limited in example.
Referring to Fig. 1, the flow chart that in figure shows the object analysis method of first embodiment.This object analysis side
Method comprises the steps：
Step S10, determine the movement locus trend towards orientation and visitor of visitor.
It should be noted that in the present embodiment, can be determined as follows visitor towards orientation：Base
Wireless signal between the mobile device that the wireless signal base station around visitor and visitor carry, determines visitor
With object towards orientation.Specific as follows：Based on the positional information of visitor, around visitor select one or
Multiple wireless signal base stations, one of wireless signal base station is corresponding with least one object, and (for example this is wireless
Signal base station can be arranged on the object)；Then one or more wireless signal base station broadcasts of triggering selection
Wireless signal；The quality of the wireless signal receiving finally according to mobile device, determines the direction of visitor and object
Orientation.
If with the RSSI of wireless signal (Received Signal Strength Indication, reception
Signal intensity indicates) sampled value represents the quality of wireless signal, then can determine in the following way visitor with
Object towards orientation；Obtain the RSSI sampled value of the wireless signal that mobile device receives first；It is then based on
RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistical nature；Based on RSSI sampled value, intend
Close RSSI- distance decay model, obtain envirment factor；It is finally based on RSSI frequecy characteristic, RSSI statistics spy
Seek peace envirment factor, determine visitor and object towards orientation.Wherein this towards orientation can be：Dorsad,
Both sides or direction, wherein dorsad refer to visitor's dorsad this object；Both sides refer to that visitor is located at the both sides of this object；
Direction refers to visitor towards this object.
It should be noted that the movement locus trend of visitor in the present embodiment, can be determined as follows：
Obtain the positional information of visitor and the movable information of visitor first；It is then based on positional information and movable information,
The movement locus of matching visitor；It is finally based on movement locus, determines movement locus trend, this movement locus becomes
Gesture can be open trend or closure trend.The motion rail of the difference institute matching of velocity attitude for example can be utilized
Mark determines movement locus trend, and when velocity attitude difference is constant always, movement locus trend is closure trend；
When velocity attitude difference is in change, movement locus trend is open trend.Of course, it should be understood that
Movement locus trend can be determined using other modes based on movement locus.
Step S11, based on towards orientation and movement locus trend, determine visitor to around movement locus at least
The level of interest grade of partial objects.
It should be noted that level of interest can be determined by the Rule of judgment according to following table in the present embodiment
Grade.Wherein, level value is bigger, represents that visitor is higher to the interest level of this object.Institute in following table
Show the level of interest grade highest represented by class 6；Level of interest grade represented by grade 1 is minimum, its
The corresponding Rule of judgment of middle grade 6 is：Visitor is towards this object, and the movement locus trend of visitor is closure
Trend.
In the present embodiment based on towards orientation and movement locus trend determine visitor to around movement locus extremely
The level of interest grade of small part object, contacts due to considering the pass between object and visitor, effectively improves
The accuracy of the level of interest grade being obtained.
Second embodiment
The application scenarios of the object analysis method of the present embodiment can be MICE, for example car exhibition, market etc..When
So it is understood that not limiting application scenarios in the present embodiment, and do not limit the concrete of object
Type.
Referring to Fig. 2, the flow chart that in figure shows the object analysis method of second embodiment, this object analysis side
Method comprises the steps：
Step S20, determine the movement locus trend towards orientation and visitor of visitor.
It should be noted that in the present embodiment, can be determined as follows visitor towards orientation：Base
Wireless signal between the mobile device that the wireless signal base station around visitor and visitor carry, determines visitor
With object towards orientation.Specific as follows：Based on the positional information of visitor, around visitor select one or
Multiple wireless signal base stations, wherein wireless signal base station (such as this wireless signal corresponding with least one object
Base station can be arranged on the object)；Then one or more wireless signal base station broadcasts of triggering selection are wireless
Signal；The quality of the wireless signal receiving finally according to mobile device, determines visitor and object towards orientation.
If represent the quality of wireless signal with the RSSI sampled value of wireless signal, can be in the following way
Determine visitor towards orientation；Obtain the RSSI sampled value of the wireless signal that mobile device receives first；Then
Based on RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistical nature；Based on RSSI sampling
Value, matching RSSI- distance decay model, obtain envirment factor；It is finally based on RSSI frequecy characteristic, RSSI
Statistical nature and envirment factor, determine visitor and object towards orientation.This towards orientation can be：Dorsad,
Both sides or direction, wherein dorsad refer to visitor's dorsad this object；Both sides refer to that visitor is located at the both sides of this object；
Direction refers to visitor towards this object.
It should be noted that the movement locus trend of visitor in the present embodiment, can be determined as follows：
Obtain the positional information of visitor and the movable information of visitor first；It is then based on positional information and movable information,
The movement locus of matching visitor；It is finally based on movement locus, determines movement locus trend, this movement locus becomes
Gesture can be open trend or closure trend.The motion rail of the difference institute matching of velocity attitude for example can be utilized
Mark determines movement locus trend, and when velocity attitude difference is constant always, movement locus trend is closure trend；
When velocity attitude difference is in change, movement locus trend is open trend.Of course, it should be understood that
Movement locus trend can be determined using other modes based on movement locus.
Step S21, determine visitor at least portion around movement locus based on towards orientation and movement locus trend
Divide the level of interest grade of object.
It should be noted that in the present embodiment, interest journey can be determined by the Rule of judgment according to following table
Degree grade.Wherein, level value is bigger, represents that visitor is higher to the interest level of this object.In following table
Level of interest grade highest represented by shown class 6, the level of interest grade represented by grade 1 is minimum,
The wherein corresponding Rule of judgment of class 6 can be：Visitor is towards this object, and the movement locus trend of visitor
It is closure trend.
Step S22, determine the access order of at least part of object of guest access.
In the present embodiment, access order can be determined according to the movement locus of the position of object and visitor,
Of course, it should be understood that the mode of determination access order is also not limited to this.This access wherein can be based on
Order determines the object of the object of previous access of some object and/or a rear access in access order,
Or at least part of object in addition to some object in determination access order, for example remove some object it
Outer all objects.
It should be noted that not limiting step S22 and step S20 and step S21 in the present embodiment
Sequencing, for example, can be simultaneously into step S20 and step S22 it is also possible in execution of step S20
Afterwards, enter back into step S22.
Step S23, the level of interest grade based at least part of object around the movement locus of visitor and access
Sequentially, determine the pouplarity of at least part of object around the movement locus of visitor.
In the present embodiment, when determining the pouplarity of object to be determined it may be considered that in access order
The level of interest grade of the object of the object of previous access to be determined and/or a rear access, or consider
The level of interest grade of at least part of object in addition to object to be determined in access order, for example, remove to be determined
The level of interest grade of all objects outside object.
In the present embodiment, determine that visitor is emerging to object based on visitor towards orientation and movement locus trend
Interesting intensity grade, is then based on the access order of level of interest grade and visitor, determines the welcome journey of object
Degree, contacts due to considering the pass between object and visitor, effectively increases obtained pouplarity
Accuracy.
3rd embodiment
The application scenarios of the object analysis method of the present embodiment can be MICE, for example car exhibition, market etc..When
So it is understood that not limiting application scenarios in the present embodiment, and do not limit the concrete of object
Type.
Referring to Fig. 3, the flow chart that in figure shows the object analysis method of 3rd embodiment, this object analysis side
Method comprises the steps：
Step S30, determine the movement locus trend towards orientation and visitor of visitor.
It should be noted that in the present embodiment, can be determined as follows visitor towards orientation：Base
Wireless signal between the mobile device that the wireless signal base station around visitor and visitor carry, determines visitor
With object towards orientation.Specific as follows：Based on the positional information of visitor, around visitor select one or
Multiple wireless signal base stations, one of wireless signal base station is corresponding with least one object, and (for example this is wireless
Signal arrangement of base stations is on the object)；Then one or more wireless signal base station broadcasts of triggering selection are wireless
Signal；The quality of the wireless signal receiving finally according to mobile device, determines visitor and object towards orientation.
If represent the quality of wireless signal with the RSSI sampled value of wireless signal, can be in the following way
Determine visitor and object towards orientation；Obtain the RSSI sampled value of the wireless signal that mobile device receives first；
It is then based on RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistical nature；Based on RSSI
Sampled value, matching RSSI- distance decay model, obtain envirment factor；Be finally based on RSSI frequecy characteristic,
RSSI statistical nature and envirment factor, determine visitor and object towards orientation.This towards orientation can be：
Dorsad, both sides or direction, wherein dorsad refers to visitor's dorsad this object；Both sides refer to that visitor is located at this object
Both sides；Direction refers to visitor towards this object.
It should be noted that the movement locus trend of visitor in the present embodiment, can be determined as follows：
Obtain the positional information of visitor and the movable information of visitor first；It is then based on positional information and movable information,
The movement locus of matching visitor；It is finally based on movement locus, determines movement locus trend, this movement locus becomes
Gesture can be open trend or closure trend.The motion rail of the difference institute matching of velocity attitude for example can be utilized
Mark determines movement locus trend, and when velocity attitude difference is constant always, movement locus trend is closure trend；
When velocity attitude difference is in change, movement locus trend is open trend.Of course, it should be understood that
Movement locus trend can be determined using other modes based on movement locus.
Step S31, the access historical information of the acquisition at least part of object of guest access.
In the present embodiment, this access historical information at least includes：The data collection that visitor accesses at each
The access distance of the data collection that the time of staying or visitor access at each.
Step S32, based on towards orientation, movement locus trend and access historical information, determine visitor to motion
The level of interest grade of at least part of object around track.
It should be noted that in the present embodiment, interest journey can be determined by the Rule of judgment according to following table
Degree grade.Wherein, level value is bigger, represents that visitor is higher to the interest level of this object.In following table
Level of interest grade highest represented by shown class 6, the level of interest grade represented by grade 1 is minimum,
The wherein corresponding Rule of judgment of class 6 can be：The time of staying is the longest, and visitor is towards this object, and visitor
Movement locus trend be closure trend.
It should be noted that can towards orientation be only in the present embodiment：Direction, and movement locus become
Gesture is：During closure trend, just consider that combined with access historical information determines level of interest grade, wherein accesses and goes through
History information can be visitor the time of staying of data collection or visitor data collection access distance.4th
Embodiment
The application scenarios of the object analysis method of the present embodiment can be MICE, for example car exhibition, market etc..When
So it is understood that not limiting application scenarios in the present embodiment, and do not limit the concrete of object
Type.
Referring to Fig. 4, the flow chart that in figure shows the object analysis method of fourth embodiment, this object analysis side
Method comprises the steps：
Step S40, determine the movement locus trend towards orientation and visitor of visitor.
It should be noted that in the present embodiment, can be determined as follows visitor towards orientation：Base
Wireless signal between the mobile device that the wireless signal base station around visitor and visitor carry, determines visitor
With object towards orientation.Specific as follows：Based on the positional information of visitor, around visitor select one or
Multiple wireless signal base stations, wherein wireless signal base station (such as this wireless signal corresponding with least one object
Arrangement of base stations is on the object)；Then one or more wireless signal base station broadcast wireless signals of triggering selection；
The quality of the wireless signal receiving finally according to mobile device, determines visitor and object towards orientation.
If represent the quality of wireless signal with the RSSI sampled value of wireless signal, can be in the following way
Determine visitor and object towards orientation；Obtain the RSSI sampled value of the wireless signal that mobile device receives first；
It is then based on RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistical nature；Based on RSSI
Sampled value, matching RSSI- distance decay model, obtain envirment factor；Be finally based on RSSI frequecy characteristic,
RSSI statistical nature and envirment factor, determine visitor and object towards orientation.This towards orientation can be：
Dorsad, both sides or direction, wherein dorsad refers to visitor's dorsad this object；Both sides refer to that visitor is located at this object
Both sides；Direction refers to visitor towards this object.
It should be noted that the movement locus trend of visitor in the present embodiment, can be determined as follows：
Obtain the positional information of visitor and the movable information of visitor first；It is then based on positional information and movable information,
The movement locus of matching visitor；It is finally based on movement locus, determines movement locus trend, this movement locus becomes
Gesture can be open trend or closure trend.The motion rail of the difference institute matching of velocity attitude for example can be utilized
Mark determines movement locus trend, and when velocity attitude difference is constant always, movement locus trend is closure trend；
When velocity attitude difference is in change, movement locus trend is open trend.Of course, it should be understood that
Movement locus trend can be determined using other modes based on movement locus.
Step S41, the access historical information of the acquisition at least part of object of guest access.
In the present embodiment, this access historical information at least includes：Visitor data collection the time of staying or
Visitor is in the access distance of data collection.
Step S42, based on towards orientation, movement locus trend and access historical information, determine visitor to motion
The level of interest grade of at least part of object around track.
It should be noted that in the present embodiment, interest journey can be determined by the Rule of judgment according to following table
Degree grade.Wherein, level value is bigger, represents that visitor is higher to the interest level of this object.In following table
Level of interest grade highest represented by shown class 6, the level of interest grade represented by grade 1 is minimum,
The wherein corresponding Rule of judgment of class 6 can be：The time of staying is the longest, and visitor is towards this object, and visitor
Movement locus trend be closure trend.
It should be noted that can towards orientation be only in the present embodiment：Direction, and movement locus become
Gesture is：During closure trend, just consider that combined with access historical information determines level of interest grade, wherein accesses and goes through
History information can be visitor the time of staying of data collection or visitor data collection access distance.Step
S43, from access historical information, determine the access order of at least part of object of guest access.
Step S44, be based on level of interest grade and access order, determine around the movement locus of visitor at least
The pouplarity of partial objects.
Of course, it should be understood that level of interest higher grade, access order is more forward, this object by joyous
Meet degree higher.
5th embodiment
Referring to Fig. 5, in figure shows the workflow diagram of the 5th embodiment.In the present embodiment with exhibition
Showpiece is as object.Comprise the following steps that：
Step S50, determine the position of visitor and the position of showpiece respectively, subsequently into step S51, step S52,
Step S53 or step S54.
The position of visitor and the position of showpiece, example can be determined using existing location technology in the present embodiment
As determined the position of visitor and the position of showpiece based on the indoor locating system of stereoscopic camera, here is no longer applied and is stated.
Step S51, the access order of acquisition visitor, subsequently into step S56.
In the present embodiment, the access order of this visitor belongs to one of visitor history information.
Step S52, the time of staying of acquisition visitor, subsequently into step S55.
In the present embodiment, the time of staying of this visitor belongs to one of visitor history information.For example：With
Showpiece is the center of circle, and preset distance is radius, can divide and obtain a region.Visitor starts after entering this region
Timing, leaves stopping timing behind this region to visitor, aforesaid this period is exactly the time of staying, for example：
Visitor 9:30 this region of entrance, 9:52 leave this region, then the time of staying of this visitor is 22 minutes.
Step S53, determine visitor towards orientation, subsequently into step S55.
Step S54, determine movement locus trend, subsequently into step S55.
Step S55, the calculating level of interest grade to showpiece for the visitor, subsequently into step S56.
It should be noted that step S52 is optional step.Can direction based on visitor in step S55
Orientation and movement locus trend, determine the level of interest grade to showpiece for the visitor.Or, in step S55
Can time of staying based on visitor, visitor towards orientation and movement locus trend, determine visitor to showpiece
Level of interest grade.
Step S56, calculating showpiece pouplarity.
Based on the level of interest grade in the access order and step S65 in step S51, calculate being subject to of showpiece
Ratings.
Referring to Fig. 6, in figure illustrates step S531 in Fig. 5 in detail, illustrates one kind and is based on Visitor Location
The method that information selects wireless signal base station.
Step S531a, set up the distribution map of showpiece, subsequently into step S531b.
Step S531b, the position of tracking visitor, subsequently into step S531c.
Step S531c, it is based on RSSI- distance decay model, in the certain limit of visitor, it is suitable to select
Wireless signal base station, subsequently into step S531d.
In the present embodiment, refer in the certain limit of visitor with the position at this visitor place as the center of circle, away from
It is radius from d, the border circular areas obtaining.Wherein it is less than or equal to effective covering of wireless signal base station apart from d
Radius.It should be noted that RSSI- distance decay model can adopt existing technology matching, here is no longer
Apply and state.
Step S531d, the wireless signal base station of selection suitable distance are it is ensured that the wireless signal base station selecting is permissible
Cover four orientation of visitor, subsequently into step S513e.
Step S531e, the wireless signal base station broadcast wireless signal of triggering selection, subsequently into step S513f.
Step S531f, obtain wireless communication between the mobile device that the wireless signal base station of selection and visitor carry
Number RSSI value.
Referring to Fig. 7, in figure illustrates step S532 and S533 in Fig. 5 in detail, illustrates a kind of determination and visits
Whether visitor is towards the method for selected wireless signal base station.
Step S532a, selected wireless signal base station broadcast wireless signal, subsequently into step S532b.
The mobile device scan for wireless signals that step S532b, visitor carry, sampling is from different wireless signal bases
The RSSI sampled value of the wireless signal that the place of station obtains, then sequentially or simultaneously enters step S532c, step
S532d and step S532e.
Step S532c, RSSI sampled value is changed to frequency domain from time domain obtain RSSI frequecy characteristic, Ran Houjin
Enter step S533a.
Step S532d, analysis RSSI statistical nature, subsequently into step S533a.
Step S532e, matching RSSI- distance decay model, obtain envirment factor：A and n, subsequently into
Step S533a.
It should be noted that can be existed using prior art matching RSSI- distance decay model in the present embodiment
This no longer applies and states.
Step S133a, compare three kinds of features of RSSI sampled value, selected wireless signal base station is divided
Three types, subsequently into step S133b.
Step S133b, selected wireless signal base station are visitor wireless signal base station dorsad.
If the three of RSSI sampled value kinds of features are respectively：The frequecy characteristic of strong noise, low-quality statistical nature
Larger environmental factorss (A and n) are then it represents that selected wireless signal base station is visitor's wireless communication dorsad
Number base station, so can determine this visitor towards orientation be dorsad this object.
Step S133c, selected wireless signal base station are the wireless signal base station of visitor both sides.
If the three of RSSI sampled value kinds of features are respectively：The frequecy characteristic of middle noise, the statistics spy of run-of-the-mill
Levy and environmental factorss (A and n) placed in the middle are then it represents that selected wireless signal base station is visitor both sides
Wireless signal base station, so can determine this visitor towards orientation for object both sides.
Step S133d, selected wireless signal base station are the wireless signal base station of visitor's direction.
If the three of RSSI sampled value kinds of features are respectively：The frequecy characteristic of low noise, high-quality statistical nature
And compared with subenvironment factor (A and n) then it represents that selected wireless signal base station is the wireless of visitor's direction
Signal base station, so can determine this visitor towards orientation be towards this object.
It should be noted that because the attenuation effect that causes of human body and hand-held action, RSSI sampled value in time domain,
There is corresponding feature in frequency domain and statistics domain.
In time domain, using envirment factor A and n as Rule of judgment, as shown in Equation 1：
RSSI=- (A+10n log10d) (1)
Wherein, RSSI represents RSSI sampled value；D represents the distance between object (such as showpiece) and visitor；
A and n is the envirment factor in RSSI- distance decay model.
In a frequency domain, the frequency values of noise are Dynamic gene, as shown in Equation 2：
G (f)=FT (f (r)) (2)
Wherein, f (r) represents the time-domain value of RSSI, and g (f) represents the frequency domain value of RSSI, and FT represents that time domain arrives
The mapping mode of frequency domain.For statistics domain, the phase between statistics domain model and perfect Gaussian statistics domain model
Close coefficient as shown in Equation 3：
R(h(S),G(S)) (3)
Wherein, h (s) represents the statistical model of RSSI sampled value, and G (s) represents the statistics of perfect Gaussian function
Domain model；R represents the dependency between h (s) and G (s).
Based on the judgement factor of three types, assess the quality of RSSI sampled value.One of which is achieved in that,
Bigger A and n, represents poorer quality；Higher noise frequency, poorer quality；Lower dependency,
Poorer quality.
Due to the impact of human body and hand-held attenuation effect, poor RSSI sampled value quality representation wireless channel
On have interference.So, the poorer wireless signal base station of RSSI sampled value is typically in the dorsad direction of visitor.Phase
Anti-, the better wireless signal base station of RSSI sampled value is typically in the direction of visitor.Due to wireless signal
Arrangement of base stations, on object (such as showpiece), therefore can determine visitor's based on the quality of RSSI sampled value
Towards orientation.
Referring to Fig. 8, in figure illustrates step S541 and S542 in Fig. 5 in detail, indicates a kind of matching and visits
The method of objective movement locus.
Step S541a, determine the positional information of visitor, subsequently into step S541c.
Step S541b, obtain in real time inertia sensing data (such as velocity amplitude), Ran Houjin in position fixing process
Enter step 541c.
Step S541c, the difference based on velocity attitude, matching movement locus.
Step S542a and S542b, determine the condition judging that track is opened or closed：When velocity attitude difference one
When directly constant, track is in closure trend；When velocity attitude difference is in change, track is in open trend.
In conjunction with direction and track trend, level of interest grade is divided into following three classes：High interest etc.
Level, medium levels of interest and low levels of interest.For example a kind of example is, if visitor is towards object (for example
Showpiece) and track trend is closure trend, and level of interest grade belongs to high levels of interest；If visitor carries on the back
To object (such as showpiece) and track trend is closure trend, levels of interest data belongs to low levels of interest；
If towards object (such as showpiece) and track trend is open trend to visitor, levels of interest belongs to medium
Levels of interest.It should be noted that the concrete shape of division not limiting level of interest grade in the present embodiment
Formula.
Referring to Fig. 9 a and Fig. 9 b, show, in wherein Fig. 9 a, the example that movement locus trend is closure trend,
The example that movement locus trend is unlatching trend is shown in Fig. 9 b.
Visitor can be determined to showpiece levels of interest using equation below in the present embodiment, as shown in Equation 4：
PRvisitor=P (L)=P (proximity) ∩ P (facing) ∩ P (orbit) (4)
Wherein, PRvisitorRepresent level of interest grade point with P (L), P (proximity) represents based on position determination
Levels of interest；P (facing) represents the levels of interest towards determination obtaining from step S53；P (orbit) represents
The open trend in track obtaining from step S54 and the levels of interest of closure trend feature determination.According to positioning
As a result, the open trend in the track obtaining towards in result and step S54 obtaining in step S53 or closure become
The situation of gesture, judges the factor in conjunction with these three, when visitor is in motion, can demarcate visitor in real time to every kind of
The levels of interest of showpiece.
Referring to Figure 10, shown in figure is a kind of example therein：Level of interest grade has been divided into seven kinds of (etc.
Level 0～class 6), bigger numeral, represent higher level of interest grade.
Referring to Figure 11, in figure illustrates step S52 in Fig. 5 in detail, indicates a kind of calculating for each
For visitor, the method for showpiece pouplarity.
Step S52a, is provided with a threshold value time of staying；
Step S52b, be based on threshold value, determine the time of staying of visitor.Thus can combine in step S55
The direction of visitor, movement locus trend and the time of staying, judge that each visitor (for example opens up to object
Product) level of interest grade, as shown in Equation 5：
Wherein, PRvisitorI () represents each visitor considering the time of staying to a certain object (such as showpiece)
Level of interest grade；Pi(L) represent the level of interest grade of each visitor obtaining from step S55；
StayDuration represents the time of staying around object (such as showpiece) for the visitor；TP represents the threshold of the time of staying
Value, i represents i-th bit visitor.
Referring to Figure 12, in figure illustrates step S56 in Fig. 5 in detail, indicates a kind of visit based on visitor
Ask order, the method calculating object pouplarity.
Step S56a, it is provided with the pouplarity parameter of at least part of object.
Step S56b based on the level of interest grade being calculated by step S55, calculate a certain object by joyous
Meet degree.
The step S56c-1 and S56c-2 access order based on level of interest grade and visitor, calculates at least portion
Divide the pouplarity of object.For example when calculating the pouplarity of object " i ", computational methods can be led to
Cross two kinds of approach to realize：Consider the object of a previous and/or rear access of object " i " in access order
Level of interest grade, calculate object " i " pouplarity, as shown in Equation 6；Consider access order
In all objects " j " in addition to object " i " level of interest grade, calculate the welcome of object " i "
Degree, as shown in Equation 7：
Wherein, G represents the classification of visitor, for example common visitor, professional visitor, media reporter etc., certainly visits
The type of visitor is also not limited to this；I and j represents object；PR_Booth (i, G) represents the welcome journey representing object
Degree；PR (j, G) represent be based on step S55 and step S52, the object extrapolated by levels of interest value by joyous
Meet degree；VC (i, G) and VC (j, g) represent group that visitor is belonging respectively to (VC (i, G)=VC (i, 1) and VC (j,
G)=VC (j, 1)), n is natural number.
Wherein, in formula (6), all visitors's (belonging to G classification) have oneself one to visit road
Line (alternatively referred to as access order)；In the Visitor Route of each visitor and object " i " adjacent (previous and/
Or latter one) object be exactly object j, find out first in formula (6) all meet require objects " j ",
Then to object " j "Summation, therefore in formula (6) can consider access suitable
In sequence, the object of a previous and/or rear access, calculates the pouplarity of at least part of object.
In formula (7), ωij=2-min(JUMP(i,j)), JUMP (i, j) represent visit circuit (also can claim
For access order line) in number of objects between object " i " and object " j ", the object in formula (7)
" j " represents：At least part of (for example all) in addition to object " i " in the Visitor Route of each spectators
Object.
Referring to Figure 13, in figure shows a kind of application scenarios of embodiments of the invention.In figure illustrates in meeting
Zhan Zhong, a series of history of object of guest access accesses situation.With regard to the definition of object, can be based on reality
The demand of application scenarios be defined.This object is usually (but being not limited to) one or more exhibition
Position or showpiece, the automobile in such as car exhibition, or the retail shop in shopping plaza etc..
It is below a kind of embodiment of object analysis equipment provided in an embodiment of the present invention.Described object analysis set
Standby embodiment and above-mentioned embodiment of the method belong to same design, not detailed description in the embodiment of equipment
Detail content, may be referred to said method embodiment.
Sixth embodiment
Referring to Figure 14, in figure shows the structure chart of the object analysis equipment of sixth embodiment, this object analysis
Equipment 140 includes：First determining module 141, is configured to determine that the motion towards orientation and visitor of visitor
Track trend；Second determining module 142, is configured to, based on towards orientation and movement locus trend, determine and visit
The level of interest grade at least part of object around movement locus for the visitor.
With continued reference to Figure 14, object analysis equipment also includes：3rd determining module 143, is configured to determine that
The access order of at least part of object described in described guest access；4th determining module 144, is configured to be based on
Described level of interest grade and described access order, determine at least part of around the movement locus of described visitor
The pouplarity of object.
In the present embodiment, the first determining module 141, is configured to the wireless communication around based on visitor
Wireless signal between the mobile device that number base station and visitor carry, determine visitor towards orientation.Specifically,
First determining module 141 includes：Select unit, is configured to the positional information based on visitor, in visitor's week
Enclose the one or more wireless signal base stations of selection, wherein wireless signal base station is corresponding with least one object；Touch
Bill unit, is configured to one or more wireless signal base station broadcast wireless signals of triggering selection；First is true
Order unit, be configured to according to mobile device receive wireless signal quality, determine visitor towards orientation.
In the present embodiment, the first determining unit, is configured to obtain the wireless of mobile device reception
The RSSI sampled value of signal；Based on RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistics
Feature；Based on RSSI sampled value, matching RSSI- distance decay model, obtain envirment factor；Based on RSSI
Frequecy characteristic, RSSI statistical nature and envirment factor, determine visitor towards orientation.
In the present embodiment, the first determining module 141, be configured to obtain visitor positional information and
The movable information of visitor；Based on positional information and movable information, the movement locus of matching visitor；Based on motion
Track, determines movement locus trend, and movement locus trend is open trend or closure trend.
7th embodiment
Referring to Figure 15, in figure shows the structure chart of the object analysis equipment of the 7th embodiment.This object analysis
Equipment 150 includes：5th determining module 151, be configured to determine that visitor towards orientation and described visitor
Movement locus trend；Acquisition module 152, is configured to obtain the access of at least part of object of described guest access
Historical information；6th determining module 153, is configured to based on described towards orientation, described movement locus trend
With the access historical information of at least part of object of described guest access, determine described visitor to described movement locus
The level of interest grade of at least part of object of surrounding.
With continued reference to Figure 15, object analysis equipment also includes：7th determining module 154, is configured to determine that
The access order of at least part of object described in described guest access；8th determining module 155, is configured to be based on
Described level of interest grade and described access order, determine at least part of around the movement locus of described visitor
The pouplarity of object.
In the present embodiment, the 5th determining module 151, is configured to the wireless communication around based on visitor
Wireless signal between the mobile device that number base station and visitor carry, determine visitor towards orientation.Specifically,
5th determining module 151 includes：Select unit, is configured to the positional information based on visitor, in visitor's week
Enclose the one or more wireless signal base stations of selection, wherein wireless signal base station is corresponding with least one object；Touch
Bill unit, is configured to one or more wireless signal base station broadcast wireless signals of triggering selection；Second is true
Order unit, be configured to according to mobile device receive wireless signal quality, determine visitor towards orientation.
In the present embodiment, the second determining unit, is configured to obtain the wireless of mobile device reception
The RSSI sampled value of signal；Based on RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistics
Feature；Based on RSSI sampled value, matching RSSI- distance decay model, obtain envirment factor；Based on RSSI
Frequecy characteristic, RSSI statistical nature and envirment factor, determine visitor towards orientation.
In the present embodiment, the 5th determining module 151, be configured to obtain visitor positional information and
The movable information of visitor；Based on positional information and movable information, the movement locus of matching visitor；Based on motion
Track, determines movement locus trend, and movement locus trend is open trend or closure trend.
8th embodiment
Referring to Figure 16, in figure shows a kind of arrangement example of the system of embodiments of the invention.System is at least
Including an object analysis equipment 161 (positioned at indoor or outdoor).Each showpiece at least configures a wireless communication
Number base station 162, wireless signal base station 162 can carry out radio communication with the mobile device of visitor.A kind of wireless
The type of signal base station is BLE (low-power consumption bluetooth), and arbitrary wireless signal that can carry out reliably finding range also may be used
For use as the present embodiment.
It should be understood that disclosed method and apparatus, Ke Yitong in several embodiments provided herein
Cross other modes to realize.For example, device embodiment described above is only schematically, for example,
The division of described unit, only a kind of division of logic function, actual can have other division side when realizing
Formula, for example multiple units or assembly can in conjunction with or be desirably integrated into another system, or some features can
To ignore, or do not execute.Another, shown or discussed coupling each other or direct-coupling or logical
Letter connection can be by some interfaces, and the INDIRECT COUPLING of device or unit or communication connection, can be electrical,
Mechanical or other forms.
In addition, can be integrated in a processing unit in each functional unit in each embodiment of the present invention,
Can also be that the independent physics of unit is included it is also possible to two or more units are integrated in a unit
In.Above-mentioned integrated unit both can be to be realized in the form of hardware, it would however also be possible to employ hardware adds software function
The form of unit is realized.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in a computer can
Read in storage medium.Above-mentioned SFU software functional unit is stored in a storage medium, including the instruction of such as dried fruitss
With so that a computer equipment (can be personal computer, server, or network equipment etc.) is held
The part steps of each embodiment methods described of the row present invention.And aforesaid storage medium includes：USB flash disk, shifting
Dynamic hard disk, read only memory (Read-Only Memory, abbreviation ROM), random access memory (Random
Access Memory, abbreviation RAM), magnetic disc or CD etc. are various can be with the medium of store program codes.
It may also be noted that it is clear that each part or each step are can in apparatus and method of the present invention
To decompose and/or to reconfigure.These decompose and/or reconfigure the equivalents that should be regarded as the present invention.
In addition, unless there is priority dependence in logic between step, otherwise not needing necessarily according to the time
Order executes, but for example basis can call and execute.
Above-mentioned specific embodiment, does not constitute limiting the scope of the invention.Those skilled in the art
It is to be understood that depend on design requirement and other factors, can occur various modifications, combination,
Sub-portfolio and replacement.Any modification made within the spirit and principles in the present invention, equivalent and improvement
Deng should be included within the scope of the present invention.
Claims (10)
1. a kind of object analysis method is it is characterised in that include：
Determine the movement locus trend towards orientation and described visitor of visitor；
Based on described towards orientation with described movement locus trend, determine described visitor to movement locus around
At least partly level of interest grade of object.
2. object analysis method according to claim 1 is it is characterised in that described object analysis method
Also include：
Determine the access order of at least part of object described in described guest access；
Based on described level of interest grade and described access order, determine around the movement locus of described visitor
At least partly pouplarity of object.
3. object analysis method according to claim 1 and 2 is it is characterised in that described determination visitor
Towards orientation, specifically include：
Based on the positional information of described visitor, select one or more wireless signal base stations around described visitor,
Wherein, a wireless signal base station is corresponding with least one object；
One or more of wireless signal base station broadcast wireless signals of triggering selection；
The quality of the described wireless signal being received according to described mobile device, determines described visitor and described object
Towards orientation.
4. object analysis method according to claim 3 it is characterised in that described according to described movement
The quality of the described wireless signal that equipment receives, determine described visitor and described object towards orientation, specifically
Including：
Obtain the RSSI sampled value of the described wireless signal that described mobile device receives；
Based on described RSSI sampled value, analysis obtains RSSI frequecy characteristic and RSSI statistical nature；
Based on described RSSI sampled value, matching RSSI- distance decay model, obtain envirment factor；
Based on described RSSI frequecy characteristic, RSSI statistical nature and envirment factor, determine described visitor with described
Object towards orientation.
5. object analysis method according to claim 1 and 2 is it is characterised in that described in described determination
The movement locus trend of visitor, specifically includes：
Obtain the positional information of described visitor and the movable information of described visitor；
Based on described positional information and movable information, the movement locus of visitor described in matching；
Based on described movement locus, determine movement locus trend, described movement locus trend be open trend or
Closure trend.
6. a kind of object analysis method is it is characterised in that include：
Determine the movement locus trend towards orientation and described visitor of visitor；
Obtain the access historical information of at least part of object of described guest access；
Based on described towards orientation, described movement locus trend and described access historical information, determine described visit
The level of interest grade at least part of object around movement locus for the visitor.
7. object analysis method according to claim 6 is it is characterised in that described object analysis method
Also include：
From described access historical information, determine the access order of at least part of object described in described guest access；
Based on described level of interest grade and described access order, determine around the movement locus of described visitor
At least partly pouplarity of object.
8. a kind of object analysis equipment is it is characterised in that include：
First determining module, is configured to determine that the movement locus trend towards orientation and described visitor of visitor；
Second determining module, is configured to based on described towards orientation with described movement locus trend, determines institute
State the level of interest grade at least part of object around movement locus for the visitor.
9. a kind of object analysis equipment is it is characterised in that include：
5th determining module, is configured to determine that the movement locus trend towards orientation and described visitor of visitor；
Acquisition module, is configured to obtain the access historical information of at least part of object of described guest access；
6th determining module, is configured to based on described towards orientation, described movement locus trend and described visit
Ask historical information, determine the level of interest grade at least part of object around movement locus for the described visitor.
10. a kind of object analysis system, including：Wireless signal base station is it is characterised in that also include：As
Object analysis equipment described in claim 8, or object analysis equipment as claimed in claim 10, institute
State wireless signal base station to be wirelessly connected with described object analysis equipment.
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| CN102591867A (en) * | 2011-01-07 | 2012-07-18 | 清华大学 | Searching service method based on mobile device position |
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| JP2014232362A (en) * | 2013-05-28 | 2014-12-11 | Kddi株式会社 | System for analyzing and predicting moving object action |
| CN104541527A (en) * | 2012-06-22 | 2015-04-22 | 谷歌公司 | Inferring user interests |
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| JP3800257B2 (en) * | 1996-08-02 | 2006-07-26 | オムロン株式会社 | Attention information measurement method and apparatus, and various systems using the same |
| DE19962201A1 (en) * | 1999-09-06 | 2001-03-15 | Holger Lausch | Determination of people activity within a reception area using cameras and sensors |
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| CN102591867A (en) * | 2011-01-07 | 2012-07-18 | 清华大学 | Searching service method based on mobile device position |
| CN103369459A (en) * | 2012-03-30 | 2013-10-23 | 北京千橡网景科技发展有限公司 | Method and device for providing position-related services |
| CN104541527A (en) * | 2012-06-22 | 2015-04-22 | 谷歌公司 | Inferring user interests |
| JP2014232362A (en) * | 2013-05-28 | 2014-12-11 | Kddi株式会社 | System for analyzing and predicting moving object action |
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| CN110941278A (en) * | 2019-12-20 | 2020-03-31 | 交控科技股份有限公司 | In-station dynamic security analysis method |
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