CN106157324A - A kind of passenger flow statistics analyzes method, Apparatus and system - Google Patents
A kind of passenger flow statistics analyzes method, Apparatus and system Download PDFInfo
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- CN106157324A CN106157324A CN201510137744.2A CN201510137744A CN106157324A CN 106157324 A CN106157324 A CN 106157324A CN 201510137744 A CN201510137744 A CN 201510137744A CN 106157324 A CN106157324 A CN 106157324A
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Abstract
The invention discloses a kind of passenger flow statistics and analyze method, Apparatus and system, relate to computer vision and technical field of image processing.Wherein, described passenger flow statistics analysis method includes: preset passenger flow statistics time n；Obtain in described passenger flow statistics time n, entering number sum SX and going out number sum SY in each unit interval M；According to entering number sum SX and going out number sum SY in described unit interval M, obtain hold-up Rn in the described passenger flow statistics time；According to hold-up Rn in the described passenger flow statistics time, obtain the Mean retention O in the passenger flow statistics time.Use technical scheme not only can separate out the number of people entering of the overall flow of the people in pre-statistics passenger flow place with statistical, it is also possible to reflect the mean residence time of wherein passenger flow.
Description
Technical field
The present invention relates to computer vision and technical field of image processing, divide particularly to a kind of passenger flow statistics
Analysis method, Apparatus and system.
Background technology
Along with computer technology and the development of statistical analysis technique, passenger flow statistics comes into automatically
The change stage.In real time, obtain passenger flow information reliably, have become as possibility.Meanwhile, along with operation
Management mode is progressively changed by traditional extensive management development to fine-grained management, in real time, obtains reliably
The importance taking passenger flow information the most just highlights.The pre-statistics place that a large amount of crowds are flowed, such as:
Shopping center, large supermarket etc., passenger flow statistics has great importance.By record public product go out
Enter the guest flow statistics data that number and resident situation etc. quantify, not only can obtain shopping center,
Museum, large supermarket shop complete just at operation state, but also high-precision passenger flow can be utilized
Statistical data, show current passenger flow state with and variation tendency.Thus so that management personnel are permissible
According to above-mentioned passenger flow statistics data rational management manpower, material resources, mate resource, thus obtain optimal fortune
Battalion's effect.Such as: each emporium, for improving the consideration of the turnover, needs different periods in a day
Customer quantity is added up, and formulates corresponding sales tactics with this；Each big supermarket can be according to different time
And the period, formulate corresponding advertising campaign etc..
By above real-time, reliable passenger flow data, not only can effectively weigh management state, it is also possible to
By the statistical analysis to passenger flow data, turn of the market can be made quickly sense in the short time by operator
Know, make in time and reasonably manage allotment, thus reach to improve management level, and the market competitiveness
Purpose.
But, in actual passenger flow statistics analyzes method design process, inventor finds in prior art
At least there are the following problems:
Existing passenger flow statistics is typically to carry out intellectual analysis according to video image, show that pre-statistics is added up in advance
Place, place is entered number in a certain amount of time and goes out number, thus reaches the passenger flow to described pre-statistics place
Measure objective, analysis result intuitively.But, only add up described the entered number of public product, only go out number
Can simply reflect the quantity of turnover, but cannot show pedestrian's activity in pre-statistics place intuitively
Situation and holdup time length.
Summary of the invention
In view of the above problems, it is proposed that the present invention is to provide one to overcome the problems referred to above or at least partly
Ground solves the problems referred to above, the technical scheme is that and is achieved in that:
On the one hand, the invention provides a kind of passenger flow statistics and analyze method, including:
Preset passenger flow statistics time n；
Obtain in described passenger flow statistics time n, entering number sum SX and going out in each unit interval M
Number sum SY；
According to entering number sum SX and going out number sum SY in described unit interval M, obtain described
Hold-up Rn in the passenger flow statistics time；
According to hold-up Rn in the described passenger flow statistics time, obtain the Mean Residence in the passenger flow statistics time
Amount O.
Preferably, the method also includes: preset unit interval M；Described unit interval M need to be not more than
Described passenger flow statistics time n.
Preferably, described according to hold-up Rn in the described passenger flow statistics time, obtain the passenger flow statistics time
The step of interior Mean retention O, including:
Obtain in the described passenger flow statistics time, the total holdup time Tn of described unit interval；
Total holdup time Tn according to the unit interval, obtains the total holdup time in the described passenger flow statistics time
ST；
According to total holdup time ST in the described passenger flow statistics time and entering in each unit interval described
Number sum SX with go out number sum SY, obtain mean residence time O.
Preferably, described according to total holdup time ST in the described passenger flow statistics time and described each is single
Entering number sum SX and going out number sum SY in bit time, obtains mean residence time O step bag
Include:
Obtain and enter number sum SX and the average going out number sum SY in each unit interval described；
Obtain total holdup time ST and the ratio of described average in the described passenger flow statistics time, obtain average
Holdup time O.
Preferably, entering in hold-up Rn in the described passenger flow statistics time is each unit interval described
Number sum SX takes difference with going out number sum SY；
The total holdup time Tn of described unit interval is hold-up Rn in the described passenger flow statistics time and institute
State the product of unit interval M.
On the other hand, the invention provides a kind of passenger flow statistics analytical equipment, including:
Preset unit, be used for presetting passenger flow statistics time n；
Number of people entering acquiring unit, is used for obtaining in described passenger flow statistics time n, each unit interval M
Interior enters number sum SX and goes out number sum SY；
Hold-up acquiring unit, for according to entering number sum SX and going out people in described unit interval M
Number sum SY, obtains hold-up Rn in the described passenger flow statistics time；
Mean Residence acquiring unit, for according to hold-up Rn in the described passenger flow statistics time, obtains visitor
Mean retention O in stream timing statistics.
Another further aspect, the invention provides a kind of passenger flow statistics and analyzes system, including: visitor as above
Stream statistical analysis device.
A kind of passenger flow statistics that the present invention provides analyzes method, and Apparatus and system, by default passenger flow statistics
Time n；Obtain in described passenger flow statistics time n, in each unit interval M, enter number sum SX
With go out number sum SY；According to entering number sum SX and going out number sum in described unit interval M
SY, obtains hold-up Rn in the described passenger flow statistics time；Stagnant according in the described passenger flow statistics time
Allowance Rn, obtains the Mean retention O in the passenger flow statistics time.So so that passenger flow statistics is analyzed not
But the number of people entering of the overall flow of the people in pre-statistics passenger flow place can be separated out with statistical, it is also possible to reflect it
The mean residence time of middle passenger flow.
Accompanying drawing explanation
A kind of passenger flow statistics that Fig. 1 provides for the embodiment of the present invention analyzes method flow diagram；
A kind of passenger flow statistics analytical equipment structure chart that Fig. 2 provides for the embodiment of the present invention；
A kind of passenger flow statistics that Fig. 3 provides for the embodiment of the present invention analyzes system construction drawing；
A kind of passenger flow statistics that Fig. 4 provides for the embodiment of the present invention analyzes method flow diagram.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing to this
Bright embodiment is described in further detail.
A kind of passenger flow statistics that the present invention relates to analyzes method, according to pre-statistics place one skilled in the art when certain section
Interior passenger flow number of people entering, obtains the mean residence time in everyone described pre-statistics place average, from
And can intuitively show passenger flow activity in pre-statistics place and be detained average time.
The present invention is to analyze to draw with the time for unit passenger flow index on the basis of entering number, going out demographics,
I.e. mean residence time, thus embody intuitively pedestrian's active situation in described pre-statistics place and
Holdup time length.It is described in detail below by way of concrete example.
A kind of passenger flow statistics provided for showing the embodiment of the present invention such as Fig. 1 analyzes method；The method bag
Include:
101: preset passenger flow statistics time n；
102: obtain in described passenger flow statistics time n, enter number sum SX in each unit interval M
With go out number sum SY；
103: according to entering number sum SX and going out number sum SY in described unit interval M, obtain
Hold-up Rn in the described passenger flow statistics time；
104: according to hold-up Rn in the described passenger flow statistics time, obtain putting down in the passenger flow statistics time
All hold-ups O.
It should be noted that the method also includes: preset unit interval M；Described unit interval M needs
It is not more than described passenger flow statistics time n.
Also, it should be noted described according to hold-up Rn in the described passenger flow statistics time, obtain passenger flow
The step of the Mean retention O in timing statistics, specifically may include that
Obtain in the described passenger flow statistics time, the total holdup time Tn of described unit interval；
Total holdup time Tn according to the unit interval, obtains the total holdup time in the described passenger flow statistics time
ST；
According to total holdup time ST in the described passenger flow statistics time and entering in each unit interval described
Number sum SX with go out number sum SY, obtain mean residence time O.
Also, it should be noted it is described according to total holdup time ST and institute in the described passenger flow statistics time
State entering number sum SX and going out number sum SY in each unit interval, obtain mean residence time O
Step includes:
Obtain and enter number sum SX and the average going out number sum SY in each unit interval described；
Obtain total holdup time ST and the ratio of described average in the described passenger flow statistics time, obtain average
Holdup time O.
During also, it should be noted hold-up Rn in the described passenger flow statistics time is each unit described
In enter number sum SX and go out number sum SY and take difference；
The total holdup time Tn of described unit interval is hold-up Rn in the described passenger flow statistics time and institute
State the product of unit interval M.
Based on above example, as in figure 2 it is shown, a kind of passenger flow statistics for embodiment of the present invention offer divides
Analysis apparatus；This passenger flow statistics analytical equipment, including:
Preset unit 201, be used for presetting passenger flow statistics time n；
Number of people entering acquiring unit 202, is used for obtaining in described passenger flow statistics time n, during each unit
Between entering number sum SX and going out number sum SY in M；
Hold-up acquiring unit 203, for according in described unit interval M enter number sum SX and
Go out number sum SY, obtain hold-up Rn in the described passenger flow statistics time；
Mean Residence acquiring unit 204, for according to hold-up Rn in the described passenger flow statistics time, obtains
Take the Mean retention O in the passenger flow statistics time.
It should be noted that described default unit 201, it is additionally operable to preset unit interval M；Described unit
Time M need to be not more than described passenger flow statistics time n.
Described Mean Residence acquiring unit 204, is additionally operable to obtain in the described passenger flow statistics time, described list
The total holdup time Tn of bit time；Total holdup time Tn according to the unit interval, obtains described passenger flow system
Total holdup time ST in timing；According to total holdup time ST in the described passenger flow statistics time and described
Entering number sum SX and going out number sum SY in each unit interval, obtains mean residence time O.
Also, it should be noted described Mean Residence acquiring unit 204, it is additionally operable to obtain each list described
Number sum SX is entered and the average going out number sum SY in bit time；When obtaining described passenger flow statistics
Interior total holdup time ST and the ratio of described average, obtain mean residence time O.
During also, it should be noted hold-up Rn in the described passenger flow statistics time is each unit described
In enter number sum SX and go out number sum SY and take difference；
The total holdup time Tn of described unit interval is hold-up Rn in the described passenger flow statistics time and institute
State the product of unit interval M.
Based on above example, as it is shown on figure 3, a kind of passenger flow statistics for embodiment of the present invention offer divides
Analysis system；This system includes: the passenger flow statistics analytical equipment described in any one as mentioned above.
Based on above example, if entering number is the pre-pedestrian's quantity adding up place of entrance in the unit time；
Going out number is to walk out (leaving) in the unit time to add up pedestrian's quantity in place in advance；Always enter number for from working as
It initial time, to current time, enters the summation of number in each unit interval；Always go out number for from the same day
Initial time, to current time, goes out the summation of number in each unit interval；Hold-up subtracts for always entering number
Go always to go out number, and set number of people entering employing video acquisition statistical；As shown in Figure 4, for the present invention
A kind of passenger flow statistics that embodiment provides analyzes method；This passenger flow statistics analyzes method, including:
401: the default video acquisition time period is n (i.e. the above passenger flow statistics time n), video acquisition
Equipment (video camera) gathers video；Described collection video is sent to video analyzer.
402: described video analyzer receives video, according to certain analysis rule, drawn by computing
Actual number of people entering in the described video acquisition time period；
403: the default unit interval is M, the video acquisition time period is one day；Then obtain one day average
Holdup time；Detailed process is as follows, if the number of entering of each unit interval M is Xn, going out number is Yn；
1. obtain each unit interval in one day always enters number: SX=∑ X (0～n), and each unit
Time always go out number: SY=∑ Y (0～n)；
2. the hold-up of each unit interval in obtaining a day: Rn=SX SY；
3. obtain the total holdup time of each unit interval M: Tn=Rn*M；
4. obtain one day total holdup time: ST=∑ T (0～n)；
5. obtain mean residence time: O=ST/ [(SX+SY)/2]；
By the analysis to described pre-statistics place mean residence time index, it is possible to embody this intuitively
The active situation of institute one skilled in the art and the length of holdup time, such as: in order to examine shop pair in market
The captivation of client and client enter the degree of attentiveness behind shop to shop.If mean residence time is relatively
Height, then go really after explanation client enters shop to understand, browsed commodity, can reflect the business in shop
Product compare the attention that can attract client and the interest causing client.If mean residence time is on the low side, then say
The client in this shop bright may simply have a glance at and seemingly pass by this place, and these shop commodity fail to cause client
Interest.The passenger flow index finally drawn by the present invention can improve the commodity in shop in the operation management of market
Reasonability, the final exchange hand improving shop and profit.
It should be noted that above-described into and out of demographics can be artificial statistics, gate statistics,
The modes such as infrared pulse statistics, video statistics.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the protection model of the present invention
Enclose.All any modification, equivalent substitution and improvement etc. made within the spirit and principles in the present invention, all
Comprise within the scope of the present invention.
Claims (10)
1. a passenger flow statistics analyzes method, it is characterised in that including:
Preset passenger flow statistics time n；
Obtain in described passenger flow statistics time n, entering number sum SX and going out in each unit interval M
Number sum SY；
According to entering number sum SX and going out number sum SY in described unit interval M, obtain described
Hold-up Rn in the passenger flow statistics time；
According to hold-up Rn in the described passenger flow statistics time, obtain the Mean Residence in the passenger flow statistics time
Amount O.
Passenger flow statistics the most according to claim 1 analyzes method, it is characterised in that the method is also wrapped
Include: preset unit interval M；Described unit interval M need to be not more than described passenger flow statistics time n.
Passenger flow statistics the most according to claim 1 and 2 analyzes method, it is characterised in that described
According to hold-up Rn in the described passenger flow statistics time, obtain the Mean retention O in the passenger flow statistics time
Step, including:
Obtain in the described passenger flow statistics time, the total holdup time Tn of described unit interval；
Total holdup time Tn according to the unit interval, obtains the total holdup time in the described passenger flow statistics time
ST；
According to total holdup time ST in the described passenger flow statistics time and entering in each unit interval described
Number sum SX with go out number sum SY, obtain mean residence time O.
Passenger flow statistics the most according to claim 3 analyzes method, it is characterised in that described according to institute
State total holdup time ST in the passenger flow statistics time and enter number sum SX in each unit interval described
With go out number sum SY, obtain mean residence time O step include:
Obtain and enter number sum SX and the average going out number sum SY in each unit interval described；
Obtain total holdup time ST and the ratio of described average in the described passenger flow statistics time, obtain average
Holdup time O.
Passenger flow statistics the most according to claim 4 analyzes method, it is characterised in that
Hold-up Rn in the described passenger flow statistics time is to enter number sum in each unit interval described
SX takes difference with going out number sum SY；
The total holdup time Tn of described unit interval is hold-up Rn in the described passenger flow statistics time and institute
State the product of unit interval M.
6. a passenger flow statistics analytical equipment, it is characterised in that including:
Preset unit, be used for presetting passenger flow statistics time n；
Number of people entering acquiring unit, is used for obtaining in described passenger flow statistics time n, each unit interval M
Interior enters number sum SX and goes out number sum SY；
Hold-up acquiring unit, for according to entering number sum SX and going out people in described unit interval M
Number sum SY, obtains hold-up Rn in the described passenger flow statistics time；
Mean Residence acquiring unit, for according to hold-up Rn in the described passenger flow statistics time, obtains visitor
Mean retention O in stream timing statistics.
Passenger flow statistics analytical equipment the most according to claim 6, it is characterised in that described default list
Unit, is additionally operable to preset unit interval M；Described unit interval M need to be not more than described passenger flow statistics time n.
Described Mean Residence acquiring unit, is additionally operable to obtain in the described passenger flow statistics time, during described unit
Between total holdup time Tn；Total holdup time Tn according to the unit interval, when obtaining described passenger flow statistics
Interior total holdup time ST；According to total holdup time ST in the described passenger flow statistics time and described each
Entering number sum SX and going out number sum SY in the unit interval, obtains mean residence time O.
Passenger flow statistics analytical equipment the most according to claim 7, it is characterised in that
Described Mean Residence acquiring unit, be additionally operable in each unit interval described in obtaining enters number sum
SX and the average going out number sum SY；Obtain total holdup time ST and institute in the described passenger flow statistics time
State the ratio of average, obtain mean residence time O.
Passenger flow statistics analytical equipment the most according to claim 8, it is characterised in that
Hold-up Rn in the described passenger flow statistics time is to enter number sum in each unit interval described
SX takes difference with going out number sum SY；
The total holdup time Tn of described unit interval is hold-up Rn in the described passenger flow statistics time and institute
State the product of unit interval M.
10. a passenger flow statistics analyzes system, it is characterised in that including: claim 6 as mentioned above
An arbitrary described passenger flow statistics analytical equipment in 9.
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| CN201510137744.2A CN106157324A (en) | 2015-03-27 | 2015-03-27 | A kind of passenger flow statistics analyzes method, Apparatus and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112380925A (en) * | 2020-10-27 | 2021-02-19 | 北京城建智控科技有限公司 | Data processing method, device, equipment and storage medium |
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| CN101582182A (en) * | 2009-03-16 | 2009-11-18 | 深圳市丰泰瑞达实业有限公司 | Method, system and server for statistical processing of tourist flow data |
| CN101587605A (en) * | 2008-05-21 | 2009-11-25 | 上海新联纬讯科技发展有限公司 | Passenger-flow data management system |
| CN101739653A (en) * | 2008-11-13 | 2010-06-16 | 上海汇纳网络信息科技有限公司 | Passenger flow analysis system |
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2015
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Patent Citations (4)
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| CN101470946A (en) * | 2007-12-25 | 2009-07-01 | 厦门雅迅网络股份有限公司 | GPS and passenger flow data processing method for city public transportation system |
| CN101587605A (en) * | 2008-05-21 | 2009-11-25 | 上海新联纬讯科技发展有限公司 | Passenger-flow data management system |
| CN101739653A (en) * | 2008-11-13 | 2010-06-16 | 上海汇纳网络信息科技有限公司 | Passenger flow analysis system |
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Address after: 8 floors of Block E, No.2 Building, 9 Yuan, Fenghao East Road, Haidian District, Beijing 100094 Applicant after: Wen'an Beijing intelligent technology Limited by Share Ltd Address before: 100085 Fourth Floor of Huanyang Building, 7th Building, No. 1 Courtyard, Shangdi East Road, Haidian District, Beijing Applicant before: Wen'an Beijing intelligent technology Limited by Share Ltd |
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Application publication date: 20161123 |