CN111079524A - Target identity recognition method and system based on operator base station - Google Patents
Target identity recognition method and system based on operator base station Download PDFInfo
- Publication number
- CN111079524A CN111079524A CN201911072314.1A CN201911072314A CN111079524A CN 111079524 A CN111079524 A CN 111079524A CN 201911072314 A CN201911072314 A CN 201911072314A CN 111079524 A CN111079524 A CN 111079524A
- Authority
- CN
- China
- Prior art keywords
- target
- base station
- user
- data
- operator
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012545 processing Methods 0.000 claims description 20
- 230000011664 signaling Effects 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000012544 monitoring process Methods 0.000 description 13
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Telephonic Communication Services (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a target identity recognition method based on an operator base station, which comprises the steps of recording and providing user identity data by the operator base station, taking the user identity data recorded by the base station at specified time and position as a user set, and solving an intersection of two or more user sets to obtain a target set. By the method and the device, the people who move in a certain time and a certain area can be found out, the mobile phone numbers of the people are identified, and the personal information corresponding to the mobile phone numbers is obtained.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a system for identifying a target mobile phone number.
Background
At present, the population explosion and the increasingly serious public safety are caused, mobile communication equipment, particularly mobile phones are widely used, convenience is brought to people, meanwhile, convenience is brought to lawbreakers, and difficulties are increased for investigation and law enforcement of public safety departments.
In many cases, the public security department needs to track the mobile phone numbers and the mobile phone positions of lawbreakers or certain specific target groups, and if the mobile phone number of a suspect can be quickly and effectively acquired, the public security department can help the security department to improve the detection effect. Chinese patent CN 107991958A discloses a public safety monitoring and identifying network for mobile phone numbers, which has a problem that a large number of single-pile identification devices need to be installed, and the technology is almost impossible to be applied due to installation cost and maintenance cost.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the problem that the target identity can not be quickly identified in the prior art, a method and a system for identifying a target telephone number by utilizing the base station of the conventional operator are provided.
The technical scheme of the invention is as follows: a target identity recognition method based on an operator base station comprises user identity data recorded by the operator base station, and is characterized in that: and taking the user identity data recorded by the base station at the specified time and position as a user set, and solving the intersection of two or more user sets to obtain a target set.
And installing a shooting device in the coverage range of the base station, identifying the target through an image recognition technology, recording time, and calling user identity data of the base station at the position and time of the target.
Each shooting device uploads shot image data to a data processing platform, after a target identification is retrieved from the image data, base station data of the position where the shooting device is located is called, all user identity data recorded by the base station when a target appears are obtained, and a user set is obtained, wherein the intersection of at least two user sets serves as a target set.
And continuing to calculate intersection of the target set and the new user set until the number of elements in the target set is less than a certain value.
The elements in the set are mobile phone numbers of users, the object identification marks are human body characteristics or vehicle characteristics, and identity information of the objects is obtained through the mobile phone numbers.
A target identity recognition system based on an operator base station comprises the operator base station, a data processing platform is arranged, the data processing platform can call user identity data of each base station, the user identity data of one base station in a time period is called a user set, and the intersection of at least two user sets is a target set.
The method comprises the steps that a certain number of shooting devices are installed in the coverage range of each operator base station, the shooting devices upload shot image data to a data processing platform, after a target is recognized to appear in the image data, the data processing platform calls a user set of the base station where the target appears according to the position and shooting time of the shooting devices of the image data, one user set is obtained when the target appears, and the intersection of a plurality of user sets is solved.
And the data processing platform acquires the base station data through GGSN signaling data.
The program installed on the data processing platform performs the following processes:
A. target identification: analyzing the image data, identifying whether a target appears in the image data, and obtaining the position and time of the target after the target appears;
B. acquiring a user set: calling user identity data of a base station where a target appears to obtain a user set;
C. calculating a target set: and repeating the steps A-B, and solving intersection of the obtained user sets to obtain a target set.
Each shooting device and each base station are numbered and associated, and after the target is identified to appear, the data of the associated base station is called through the number of the shooting device;
in step D, when the elements in the target set reach the preset conditions, the target recognition is stopped, and the information recorded in the operator database by the target elements is obtained.
The invention has the beneficial effects that:
by the method and the device, the people who move in a certain time and a certain area can be found out, the mobile phone numbers of the people are identified, and the personal information corresponding to the mobile phone numbers is obtained.
When illegal activities occur, the target crowd appearing at the illegal position at that time can be rapidly acquired, convenience is provided for security departments to detect cases, and the method is particularly suitable for interlinked crime.
After the identification such as a portrait or a license plate is shot by the monitoring camera, the unique number corresponding to a base station CI or ECI and the like in the camera is searched through the base station position data in the signaling data of the GGSN of the mobile network core network element of a communication operator, the information of the camera corresponding to multiple mobile phone numbers is obtained, and the mobile phone numbers of the personnel or passengers in the vehicle are obtained by continuously updating in the process of collecting different cameras (base stations) at different time according to the mode.
Description of the drawings:
fig. 1 is a system configuration diagram of embodiment 3 of the present invention.
Fig. 2 is a logic diagram of implementation of embodiment 3.
Fig. 3 is a schematic diagram of the identification process of embodiment 3.
Detailed Description
Example 1: a target identity identification method based on an operator base station needs user identity data recorded by the operator base station, the user identity data recorded by the base station at specified time and position is used as a user set, and intersection is calculated for two or more user sets to obtain a target set.
If a suspect carries a mobile phone in the process of 3 nights of public damage in a city, the number of the mobile phone can be determined by the method, and the method comprises the following specific steps:
1. and calling base station data of each case place at night, for example, a base station of the place A records 200 mobile phone numbers at night, taking the 200 mobile phone numbers as a user set A, and similarly acquiring a set B and a set C.
2. And solving the intersection of the set A B to obtain a target set, and if the target set has too many elements, continuing to intersect with the C, so that a small target set can be obtained, even only one element is needed, and a suspect or a suspect group is preliminarily determined.
Example 2: in the embodiment, the shooting device needs to be installed in the range of the base station, and besides the base station data, the data shot by the camera nearby the base station is also called. Firstly, data shot by each camera is called, for example, a target vehicle or a person is shot when passing through the camera, when the target vehicle or the person is identified by an image identification technology, which base station the target vehicle or the person belongs to is judged according to the position of the camera, then base station data in shooting time is called to obtain a user set, the target enters other base station areas and then is shot by the camera, the base station data is continuously called after the target appears to obtain a second user set, the intersection of the two user sets is solved to be used as a target set, usually, the intersection of the first solving has a plurality of elements, so whether the target appears or not is continuously identified, other user sets are obtained, and the intersection is repeatedly solved until the elements of the target set meet requirements.
Example 3: the mobile phone number obtaining platform based on combination of portrait recognition and mobile network base station position information comprises a plurality of base stations 1 and a monitoring camera 2, wherein the base stations 1 cover the monitoring camera 2, the base stations 1 are in signal connection with a mobile network core GGSN network element 3, and the mobile network core GGSN network element light splitting data is connected with a big data processing platform 4. The operators in this embodiment are connected.
The implementation logic is as shown in fig. 2, after the camera shoots a portrait, the portrait is recorded and sent to a data processing platform, the face is identified through an installed image identification program, faceid is distributed to the identified face, the intersection of user id of a base station where the same faceid is located during shooting is judged and calculated, when the number of the user id of the intersection is smaller than a preset value N, the set is written into a storage, and if the number of the user id of the intersection is larger than N, the set is stored as a temporary array to wait for the data of the same faceid at the next time. The image recognition technique used in this embodiment is a technique provided by graphics technology.
In this embodiment, after the identification image such as a portrait or a license plate is shot by the monitoring camera 2, the unique number such as CI or ECI corresponding to the base station 1 in the monitoring camera 2 is searched through the corresponding base station position data in the signaling data of the GGSN network element 3 of the mobile network core, information of one image for multiple mobile phone numbers is obtained, and the information is collected by the monitoring camera 2 and the base station 1 at different times in the above manner and is continuously updated, so that the mobile phone number of the person or the passenger in the vehicle is obtained.
For example, at time ①, the user a is identified under the nth monitoring camera 2, a plurality of mobile phone numbers are obtained on the base station 1 corresponding to the nth monitoring camera 2 through signaling data of a mobile network core GGSN network element 3, a list N is formed through the big data processing platform 4, and one of the plurality of mobile phone numbers of the user a in the list N can be determined.
At time ②, the user A is identified under the (N + 1) th monitoring camera 2, a plurality of mobile phone numbers are obtained on the base station 1 corresponding to the (N + 1) th monitoring camera 2 through signaling data of a mobile network core GGSN (gateway GPRS support node) network element 3, a list (N + 1) is formed through the big data processing platform 4, and one of the mobile phone numbers of the user A in the list (N + 1) can be judged.
At time m, the user A is identified under the (N + m) th monitoring camera 2, and a plurality of mobile phone numbers are acquired on the base station 1 corresponding to the (N + m) th monitoring camera 2 through signaling data of a GGSN (gateway GPRS support node) network element 3 of a mobile network core; and a list N + m is formed by a big data processing platform 4; it may be determined that the mobile phone number of user a is one of the plurality of mobile phone numbers in list N + m.
And combining the combination of N +1 and N +2 … N + m to obtain the unique mobile phone number of the user A.
After the mobile phone number of the user A is acquired, personal information such as the name, the sex, the age and the like of the person can be acquired through the real name information of the mobile phone number.
The preferred surveillance camera head 2 is a high definition video camera, and the structural design can make the collected image clearer. In fact, specific considerations may also be made to the specific case.
Claims (10)
1. A target identity recognition method based on an operator base station comprises user identity data recorded by the operator base station, and is characterized in that: and taking the user identity data recorded by the base station at the specified time and position as a user set, and solving the intersection of two or more user sets to obtain a target set.
2. The method for identifying target identity based on operator base station as claimed in claim 1, wherein: and installing a shooting device in the coverage range of the base station, identifying the target through an image recognition technology, recording time, and calling user identity data of the base station at the position and time of the target.
3. The method for identifying target identity based on operator base station as claimed in claim 2, wherein: each shooting device uploads shot image data to a data processing platform, base station data of the position where the shooting device is located is retrieved after a target identification is retrieved from the image data, user identity data recorded when a target appears in the base station are obtained, and a user set is obtained, wherein the intersection of at least two user sets serves as a target set.
4. The operator base station based target identity recognition method according to any one of claims 1 to 3, characterized in that: and continuing to calculate intersection of the target set and the new user set until the number of elements in the target set is less than a certain value.
5. The method of claim 4, wherein the target identity recognition based on the operator base station comprises: the elements in the set are mobile phone numbers of users, the object identification marks are human body characteristics or vehicle characteristics, and identity information of the objects is obtained through the mobile phone numbers.
6. A target identity recognition system based on an operator base station comprises the operator base station, and is characterized in that: and setting a data processing platform, wherein the data processing platform can call the user identity data of each base station, the user identity data of one base station in a time period is called a user set, and the intersection of at least two user sets is a target set.
7. The operator base station based target identification system of claim 6, wherein: the method comprises the steps that a certain number of shooting devices are installed in the coverage range of each operator base station, the shooting devices upload shot image data to a data processing platform, after a target is recognized to appear in the image data, the data processing platform calls a user set of the base station where the target appears according to the position and shooting time of the shooting devices of the image data, one user set is obtained when the target appears, and the intersection of a plurality of user sets is solved.
8. The operator base station based target identification system of claim 6, wherein: and the data processing platform acquires the base station data through GGSN signaling data.
9. The operator base station based target identification system of claim 7, wherein the program installed on the data processing platform performs the following processes:
A. target identification: analyzing the image data, identifying whether a target appears in the image data, and obtaining the position and time of the target after the target appears;
B. acquiring a user set: calling user identity data of a base station where a target appears to obtain a user set;
C. calculating a target set: and repeating the steps A-B, and solving intersection of the obtained user sets to obtain a target set.
10. The operator base station based target identification system of claim 7, wherein: each shooting device and each base station are numbered and associated, and after the target is identified to appear, the data of the associated base station is called through the number of the shooting device; in step D, when the elements in the target set reach the preset conditions, the target recognition is stopped, and the information recorded in the operator database by the target elements is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911072314.1A CN111079524A (en) | 2019-11-05 | 2019-11-05 | Target identity recognition method and system based on operator base station |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911072314.1A CN111079524A (en) | 2019-11-05 | 2019-11-05 | Target identity recognition method and system based on operator base station |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111079524A true CN111079524A (en) | 2020-04-28 |
Family
ID=70310682
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911072314.1A Pending CN111079524A (en) | 2019-11-05 | 2019-11-05 | Target identity recognition method and system based on operator base station |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111079524A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112738725A (en) * | 2020-12-18 | 2021-04-30 | 福建新大陆软件工程有限公司 | Real-time identification method, device, equipment and medium for target crowd in semi-closed area |
| CN114786134A (en) * | 2022-06-20 | 2022-07-22 | 中国联合网络通信集团有限公司 | Information tracking processing system, method and equipment |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014042646A1 (en) * | 2012-09-14 | 2014-03-20 | Empire Technology Development Llc | Associating an identity to a creator of a set of visual files |
| CN104968048A (en) * | 2015-06-29 | 2015-10-07 | 华南理工大学 | Target person tracking method combining mobile network recording and video monitoring data |
| CN105246157A (en) * | 2015-11-03 | 2016-01-13 | 中国联合网络通信集团有限公司 | Mobile terminal positioning method and positioning system |
| CN105722025A (en) * | 2016-01-15 | 2016-06-29 | 中国联合网络通信有限公司广东省分公司 | Target client sample selection method and system based on base station communities |
| CN106339428A (en) * | 2016-08-16 | 2017-01-18 | 东方网力科技股份有限公司 | Identity identification method and device for suspects based on large video data |
| CN107991958A (en) * | 2017-12-11 | 2018-05-04 | 西安立东行智能技术有限公司 | A kind of public safety monitoring identification network for phone number |
| CN108540755A (en) * | 2017-03-01 | 2018-09-14 | 中国电信股份有限公司 | Personal identification method and device |
| CN108734129A (en) * | 2018-05-21 | 2018-11-02 | 上海应用技术大学 | mobile phone and vehicle location analysis method and system |
| CN109714712A (en) * | 2018-12-28 | 2019-05-03 | 科大国创软件股份有限公司 | A kind of method and device of the data drop point based on attributes match to grid |
-
2019
- 2019-11-05 CN CN201911072314.1A patent/CN111079524A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014042646A1 (en) * | 2012-09-14 | 2014-03-20 | Empire Technology Development Llc | Associating an identity to a creator of a set of visual files |
| CN104968048A (en) * | 2015-06-29 | 2015-10-07 | 华南理工大学 | Target person tracking method combining mobile network recording and video monitoring data |
| CN105246157A (en) * | 2015-11-03 | 2016-01-13 | 中国联合网络通信集团有限公司 | Mobile terminal positioning method and positioning system |
| CN105722025A (en) * | 2016-01-15 | 2016-06-29 | 中国联合网络通信有限公司广东省分公司 | Target client sample selection method and system based on base station communities |
| CN106339428A (en) * | 2016-08-16 | 2017-01-18 | 东方网力科技股份有限公司 | Identity identification method and device for suspects based on large video data |
| CN108540755A (en) * | 2017-03-01 | 2018-09-14 | 中国电信股份有限公司 | Personal identification method and device |
| CN107991958A (en) * | 2017-12-11 | 2018-05-04 | 西安立东行智能技术有限公司 | A kind of public safety monitoring identification network for phone number |
| CN108734129A (en) * | 2018-05-21 | 2018-11-02 | 上海应用技术大学 | mobile phone and vehicle location analysis method and system |
| CN109714712A (en) * | 2018-12-28 | 2019-05-03 | 科大国创软件股份有限公司 | A kind of method and device of the data drop point based on attributes match to grid |
Non-Patent Citations (2)
| Title |
|---|
| CAN YANG等: "Identify and Trace Criminal Suspects in the Crowd Aided by Fast Trajectories Retrieval", 《DATABASE SYSTEMS FOR ADVANCED APPLICATIONS，19TH INTERNATIONAL CONFERENCE》 * |
| 张志山: "基于LTE信令的道路用户轨迹识别方法", 《现代计算机(专业版)》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112738725A (en) * | 2020-12-18 | 2021-04-30 | 福建新大陆软件工程有限公司 | Real-time identification method, device, equipment and medium for target crowd in semi-closed area |
| CN114786134A (en) * | 2022-06-20 | 2022-07-22 | 中国联合网络通信集团有限公司 | Information tracking processing system, method and equipment |
| CN114786134B (en) * | 2022-06-20 | 2022-09-13 | 中国联合网络通信集团有限公司 | Information tracking processing system, method and equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10467897B2 (en) | Investigation assist system and investigation assist method | |
| US7683929B2 (en) | System and method for video content analysis-based detection, surveillance and alarm management | |
| CN103294775B (en) | Police service cloud image recognition vehicle administrating system based on geographic space-time constraint | |
| CN110163167B (en) | Directional real-time tracking method and system in waiting hall | |
| US20040240542A1 (en) | Method and apparatus for video frame sequence-based object tracking | |
| CN109618286B (en) | Real-time monitoring system and method | |
| KR102039279B1 (en) | System and method for supporting police work using image recognition | |
| CN106131784B (en) | A kind of suspicion number determines methods, devices and systems | |
| CN110619277A (en) | Multi-community intelligent deployment and control method and system | |
| CN108540757B (en) | Monitoring system and monitoring method | |
| KR20190041704A (en) | A cctv divided management system and method it | |
| CN111079524A (en) | Target identity recognition method and system based on operator base station | |
| CN110856115B (en) | Identification method and identification device for fraud organization offence area and electronic equipment | |
| CN108710827A (en) | A kind of micro- police service inspection in community and information automatic analysis system and method | |
| CN112380892B (en) | Image recognition method, device, equipment and medium | |
| KR101460781B1 (en) | Illegal vehicle surveillance system | |
| KR100413382B1 (en) | System and Method for Integrated Remote Control of Watching Camera using Communication Network and Method for Processing Image Data Using the Same | |
| JP7428682B2 (en) | Investigation support system and investigation support method | |
| CN109741224A (en) | Supervision method and Related product | |
| CN111539254A (en) | Target detection method, target detection device, electronic equipment and computer-readable storage medium | |
| CN111400415A (en) | Management method and related device for stability-related personnel | |
| US8344878B2 (en) | Method and apparatus for the creation of an event-associated electronic device directory | |
| CN111489276B (en) | Personnel management method and related device | |
| CN210983509U (en) | Entry key group distribution and control system | |
| CN113128294A (en) | Road event evidence obtaining method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200428 |
|
| RJ01 | Rejection of invention patent application after publication |