CN105681613A - Multi-network cooperative tracking early-warning method and system - Google Patents

Multi-network cooperative tracking early-warning method and system Download PDF

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Publication number
CN105681613A
CN105681613A CN201510998023.0A CN201510998023A CN105681613A CN 105681613 A CN105681613 A CN 105681613A CN 201510998023 A CN201510998023 A CN 201510998023A CN 105681613 A CN105681613 A CN 105681613A
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China
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network
recognition feature
recognition
early warning
information
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Chinese (zh)
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夏小叶
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Individual
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Priority to PCT/CN2016/111210 priority Critical patent/WO2017107905A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/52Network services specially adapted for the location of the user terminal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M11/00Telephonic communication systems specially adapted for combination with other electrical systems
    • H04M11/04Telephonic communication systems specially adapted for combination with other electrical systems with alarm systems, e.g. fire, police or burglar alarm systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/023Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters

Abstract

The invention belongs to the field of information tracking, and in particular relates to warning condition information tracking method and system under cooperation of multiple networks. A multi-network cooperative tracking early-warning method comprises the following steps: A, obtaining a first recognition feature Y1 of a target object and an affiliated localizable network X1; B, obtaining a geographic position Z1 of the target object, and generating first recognition information A1 (X1, Y1, Z1) of the target object; C, searching a localizable network X2 covering the geographic position Z1; D, searching an associated second recognition feature Y2 of the target object close to the geographic position Z1 under the localizable network X2, and generating second recognition information A2 (X2, Y2, Z2), wherein the Z2 represents a current geographic position of the second recognition feature Y2. According to the warning condition information tracking method and system under the cooperation of the multiple networks, after a certain recognition feature of the target object is detected, other recognition features associated with the target object are quickly searched based on the same geographic position, and the target object is found out by tracking multiple recognition features, so that the probability of successfully tracking the target object is largely improved.

Description

Multi-network cooperative is followed the trail of method for early warning and system
Technical field:
The present invention relates to tracking of information early warning field, relate in particular to the alert tracking of information early warning under multi-network cooperativeMethod and system.
Background technology:
Under prior art, occur after alert, to the tracking of object, first need to know of objectRecognition feature, these recognition features can be cell-phone number, network ip address, navigator fix terminal recognition code,Social accounts etc., then follow the tracks of this recognition feature constantly. Once this recognition feature disappears or is dropped,Target tracking will be lost. For example, when China Mobile's high-ranking official's Li Xiangdong is absconded, give a street corner rod rod by mobile phone,Title will be gone on business, and other places roaming is too expensive, allows its help take care of, and advises it not shut down and also do not answer. Rod rod runs all over the city,Supervisor thinks in Li Xiangdong Shang Cheng, just knows fooled after 3 days. Again for example, occur in extensively in July, 2014The child of Zengcheng, state is embraced in case, and police has found suspect by monitor video, in the near future orderMark disappears again, but because monitoring camera cannot move, police can only be by near camera lasting observationScreen, near the inch-by-inch search of simultaneously sending someone is just found suspect. Passable by above exampleSee that having target tracking method is all the lasting tracking based on a certain recognition feature, once this recognition feature disappearsLose or be transferred, target tracking will interrupt; When occurring after alert, cannot precisely push in time alert and associationSupplementary information is given relevant people around; Alert is difficult to find eye witness after disappearing.
Summary of the invention:
For above technical problem, the present invention proposes a kind of multi-network cooperative and follows the trail of method for early warning and system, passes throughMulti-network cooperative of the present invention is followed the trail of method for early warning and system, can detect after a certain recognition feature of object,Based on same geographic location, this object second recognition feature of fast search, thereby by this object theObject is found in the tracking of one recognition feature and the second recognition feature; When occurring after alert, can also be based on phaseSame geographical position, non-object second recognition feature of searching fast plain alert periphery, precisely pushes alert in timeAnd assistance information is given non-object the second recognition feature around; After alert disappears, can be according to objectNon-object the second recognition feature that continues to store in tracing process is found eye witness.
Described multi-network cooperative is followed the trail of method for early warning and is comprised the steps:
A, obtain object the first recognition feature Y1And affiliated can fixer network X1
The geographical position Z of B, acquisition object1, generate object the first identifying information A1(X1,Y1,Z1);
C, searching cover geographical position Z1Can fixer network X2
D, can fixer network X2Lower searching object is at geographical position Z1Near relevant the second recognition featureY2, generate the second identifying information A2(X2,Y2,Z2),Z2Represent the second recognition feature Y2Current geographical positionPut.
Preferably, described relevant the second recognition feature comprises object the second recognition feature and non-object secondRecognition feature.
Preferably, described multi-network cooperative tracking method for early warning further comprises:
Record respectively described the first recognition feature and relevant the second recognition feature.
Preferably, described multi-network cooperative tracking method for early warning further comprises:
Follow the trail of respectively described the first recognition feature and object the second recognition feature.
Preferably, described multi-network cooperative tracking method for early warning further comprises:
To described non-object the second recognition feature pushed information.
Preferably, described the first recognition feature comprises: phone number or/and network ip address or/and navigator fixTerminal recognition code or/and video image or/and social account.
Preferably, described the second recognition feature comprises: phone number or/and network ip address or/and navigator fixTerminal recognition code or/and video image or/and social account.
Preferably, in the time that described the first recognition feature is video image, obtain the geographical location information of objectComprise the steps:
B1, obtain current video camera geographical position and orientation information;
Relative position information between B2, calculating object and current video camera;
The geographical location information of B3, calculating object.
Preferably, in the time that described the second recognition feature is video image, find the second recognition feature of objectComprise the steps:
D1, obtain the geographical location information of object;
D2, obtain current video camera geographical position and orientation information;
Relative position information between D3, calculating object and current video camera, thus object obtainedThe second recognition feature.
Preferably, described can comprising by fixer network: telephone network or/and internet or/and navigator fix net or/and lookFrequently monitoring network.
Preferably, in the time that described the second recognition feature is video image, further comprise the steps:
F, obtain current frame image,
G, compare in identity information storehouse according to object image, search the identity information of current goal thing.
Preferably, described navigator fix terminal comprises: GPS location receiving terminal, Big Dipper location receiving terminal, latticeLuo Nasi location receiving terminal, Galileo location receiving terminal.
Preferably, in the time finding object the second recognition feature, described the first recognition feature and described second is knownThe geographical position of other feature is less than 100 meters apart.
Preferably, in the time finding object the second recognition feature, described the first recognition feature and described second is knownThe geographical position of other feature is 0 meter apart.
Preferably, in the time finding object the second recognition feature, when described the second recognition feature exists when multiple,Preferred distance the first recognition feature is nearest, or keeps synchronization-moving one.
Optionally, in the time finding non-object the second recognition feature, described the first recognition feature and described secondRecognition feature distance is 1000 meters.
Described multi-network cooperative is followed the trail of early warning system and is comprised:
At least one connection in associated treatment module can fixer network; Describedly can be used for obtaining order by fixer networkThe first recognition feature and second recognition feature of mark thing also located object; Described associated treatment module, rootAccording to object the first recognition feature, what start correspondence can obtain corresponding geographical position by fixer network, searches currentCan fixer network under geographical position, call correspondence and can search object the second recognition feature by fixer network.
Preferably, described multi-network cooperative is followed the trail of early warning system and is also comprised: be suitable for and be connected in described each can determineThe contact terminal of position network, for pushing alert or assistance information to described non-object the second recognition feature.
Preferably, described multi-network cooperative tracking early warning system also comprises and depositing that described associated treatment module is connectedStorage module, for storing the corresponding geographic address information of fixed line number, the corresponding geographical position of video frequency pick-up head and courtTo information; Can also store described the first identifying information, the second identifying information;
Preferably, described multi-network cooperative tracking early warning system also comprises the people who is connected with described associated treatment moduleMachine interactive module, for gathering the first recognition feature.
Preferably, described multi-network cooperative tracking early warning system also comprises an identity information bank, described identity informationIn storehouse, store character image and identity information, described identity information storehouse is connected with described associated treatment module,The video figure that described associated treatment module is obtained compares, and searches the identity information of object.
Preferably, described the first recognition feature is: phone number or/and network ip address or/and navigator fix eventuallyEnd identification code is or/and video image, social account.
Preferably, described the second recognition feature is: phone number or/and network ip address or/and navigator fix eventuallyEnd identification code is or/and video image, social account.
Preferably, described can comprising by fixer network: telephone network or/and internet or/and navigator fix net or/and lookFrequently monitoring network.
Beneficial effect of the present invention is: follow the trail of method for early warning and system by multi-network cooperative of the present invention, and can beDetect after a certain recognition feature of object, based on same geographic location, this object of fast search second is knownOther feature, thereby by the tracking of this object first recognition feature and the second recognition feature is found to object,Greatly improve object has been followed the trail of to successful probability; When occurring after alert, can also be based on identical geographical positionPut, search fast non-object second recognition feature of plain alert periphery, precisely push in time alert and assist letterBreath is given non-object the second recognition feature around; After alert disappears, can be according to the non-object of storage theTwo recognition features are found eye witness.
Brief description of the drawings:
Fig. 1 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the first embodiment;
Fig. 2 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the second embodiment;
Fig. 3 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the 3rd embodiment;
Fig. 4 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the 4th embodiment;
Fig. 5 is that multi-network cooperative of the present invention is followed the trail of method for early warning the first embodiment flow chart;
Fig. 6 is that multi-network cooperative of the present invention is followed the trail of method for early warning the second embodiment flow chart;
Fig. 7 is that multi-network cooperative of the present invention is followed the trail of method for early warning the 3rd embodiment flow chart;
Fig. 8 is that multi-network cooperative of the present invention is followed the trail of method for early warning the 4th embodiment flow chart;
Fig. 9 is that multi-network cooperative of the present invention is followed the trail of method for early warning flow chart.
Detailed description of the invention:
Below in conjunction with the drawings and specific embodiments, the invention will be further described.
Fig. 1 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the first embodiment, described many netsThe collaborative early warning system of following the trail of comprises associated treatment module 5, be connected with described associated treatment module 5 multiple canFixer network. Can fixer network described in the present embodiment comprise telephone network 1, internet 2, navigator fix net 3,Video monitoring net 4. When a certain can detecting after object the first recognition feature by fixer network wherein, obtain targetThe corresponding geographical position of thing also feeds back to described associated treatment module 5, and described associated treatment module 5 is searched and startsAll under current geographic position can fixer network, search object the second recognition feature and follow the trail of.
Fig. 2 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the second embodiment, described many netsThe collaborative early warning system of following the trail of comprises associated treatment module 5, the man-machine friendship being connected with described associated treatment module 5Mutually module 6, memory module 7 and multiple can fixer network. Described in the present embodiment, can comprise phone by fixer networkNet 1, internet 2, navigator fix net 3, video monitoring net 4. Human-computer interaction module 6 is for inputting targetThing the first recognition feature and affiliated can fixer network, described associated treatment module 5 opens according to the first recognition featureMoving corresponding affiliatedly can obtain object geographical position by fixer network, search and start institute under current geographic positionHaving can fixer network, searches object the second recognition feature and follows the trail of, and searches and record non-in tracing processObject the second recognition feature, generates the second identifying information. Described memory module 7 is for storing objectOne identifying information, the second identifying information.
Fig. 3 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the 3rd embodiment, described many netsThe collaborative early warning system of following the trail of comprises associated treatment module 5, the man-machine friendship being connected with described associated treatment module 5Mutually module 6, memory module 7, identity information storehouse 8 and multiple can fixer network. Described in the present embodiment, can determinePosition network comprises telephone network 1, internet 2, navigator fix net 3, video monitoring net 4. Human-computer interaction module 6For input object the first recognition feature and affiliated can fixer network, described associated treatment module 5 basesWhat the first recognition feature startup was corresponding can obtain object geographical position by fixer network, searches and starts currentlyReason is all under position can fixer network, searches object the second recognition feature and follows the trail of, and in tracing process, looks intoLook for and record non-object the second recognition feature, generate the second identifying information. Described memory module 7 is for depositingStorage object the first identifying information, the second identifying information. In described identity information storehouse 8, store character imageAnd identity information, for described associated treatment module 5 provides personal information support, wherein personally identifiable information bagDraw together the information such as image, name, home address.
Fig. 4 is the structural representation that multi-network cooperative of the present invention is followed the trail of early warning system the 4th embodiment, described many netsThe collaborative early warning system of following the trail of comprises associated treatment module 5, the man-machine friendship being connected with described associated treatment module 5Mutually module 6, memory module 7, identity information storehouse 8 and multiple can fixer network, be suitable for and be connected in described everyOne can fixer network contact terminal, for for example, to described non-object the second recognition feature pushed information,The condition of a disaster, alert or assistance information etc. Can fixer network described in the present embodiment comprise telephone network 1, internet 2,Navigator fix net 3, video monitoring net 4. Described contact terminal comprises and connecting and first of described telephone network 1Network terminal 8, connects with second of described internet 2 and gets in touch with terminal 9, connection and described navigator fix net 3The 3rd contact terminal 10, connects the tetrad network terminal 11 with described video monitoring net 4. Human-computer interaction module6 for inputting the first recognition feature and the belonging network of object, and described associated treatment module 5 is according to the first knowledgeOther feature starts corresponding affiliatedly can obtain object geographical position by fixer network, searches and starts current geographyAll under position can fixer network, search object the second recognition feature and follow the trail of, in tracing process, searchAnd record non-object the second recognition feature, generate the second identifying information. Described memory module 7 is for storageObject the first identifying information, the second identifying information. In described identity information storehouse 8, store character image andIdentity information, for described associated treatment module 5 provides personal information support, wherein personally identifiable information comprisesThe information such as image, name, home address.
The present invention first, second, in the 3rd embodiment, describedly can comprise telephone network 1, interconnected by fixer networkNet 2, navigator fix net 3, video monitoring net 4 can be also the networks of other all traceable location.
Fig. 5 is that multi-network cooperative of the present invention is followed the trail of method for early warning the first embodiment, according to object phoneNumber B1Obtain another telephone number B2Flow process. Input or telephone network 1 by human-computer interaction module 6Auto-Sensing is to the telephone number B that has alert1After, feed back to associated treatment module 5, associated treatment module 5Send positioning instruction to telephone network 1. Telephone network 1 is to described telephone number B1Location, obtains current geographical positionPut Z1Rear generation telephone number B1Identifying information A1(X1,B1,Z1) and feed back to described associated treatmentModule 5, wherein X1Represent recognition feature B1Affiliated can fixer network be telephone network, B1Represent objectOne recognition feature, Z1Represent object current geographic position information. Described associated treatment module 5 is sent out after searchingNow cover geographical position Z1Can fixer network be telephone network 1, then to telephone network 1 send find object itsThe solicited message of his recognition feature, described telephone network 1 comprises fixed-line phone network and mobile telephone network. Described telephone network 1Search current geographic position Z1Near relevant the second recognition feature B existing2, relevant the second recognition feature comprisesObject the second recognition feature and non-object the second recognition feature, generate another identifying information A2(X1,B2,Z2) and feed back to associated treatment module 5, Z2Relevant the second recognition feature B of representative2Geographical location information.Associated treatment module 5 is by identifying information A1(X1,B1,Z1) and identifying information A2(X1,B2,Z2) depositStorage is in memory module 7.
In the time finding object the second recognition feature, geographical position Z2With geographical position Z1At a distance of the smaller the better,Preferably two-address distance is 0 meter. If current address Z1Under other recognition features exist multiple, preferred distanceFrom recognition feature B2Minimum, or keep synchronization-moving as object the second recognition feature. Collaborative placeReason module 5 sends track identification feature B simultaneously to telephone network 11With recognition feature B2Instruction.
Or, in the time finding non-object the second recognition feature, can be as required by geographical position Z2With geographical positionPut Z1Distance be set as 1000 meters. Associated treatment module 5 can be known to described non-object second according to demandOther feature pushed information, such as the condition of a disaster, alert or assistance information etc.
Fig. 6 is that multi-network cooperative of the present invention is followed the trail of method for early warning the second embodiment, according to the telephone number B of object1Obtain navigator fix terminal recognition code C1Flow process. By human-computer interaction module 6 input or telephone network 1 automaticDetect the telephone number B that has alert1After, feeding back to associated treatment module 5, associated treatment module 5 is to electricityPhone network 1 sends positioning instruction. Telephone network 1 is to described telephone number B1Location, obtains current geographic position Z1AfterGenerate identifying information A1(X1,B1,Z1) and feed back to described associated treatment module 5, wherein X1Representative identificationFeature B1Affiliated can fixer network be telephone network 1, B1Represent object recognition feature, Z1Represent that object oughtFront geographical location information. Described associated treatment module 5 is searched rear discovery and is covered geographical position Z1Other can locateNetwork is navigator fix net 3, and navigation network for location 3 sends the request letter of finding other recognition features of object thenBreath. Described navigator fix net 3 is searched current geographic position Z1Relevant the second recognition feature C that annex exists1, phaseClose the second recognition feature and comprise object the second recognition feature and non-object the second recognition feature, generate anotherIdentifying information A3(X2,C1,Z3) and feed back to associated treatment module 5, X2Representative can recognition feature C1UnderCan fixer network be navigator fix net, C1Represent another recognition feature of object, Z3Represent the current ground of objectReason positional information. Associated treatment module 5 is by identifying information A1(X1,B1,Z1) and identifying information A3(X2,C1,Z3) be stored in memory module 7.
In the time finding object the second recognition feature, geographical position Z3With geographical position Z1At a distance of the smaller the better,Preferably two-address distance is 0 meter. If current address Z3Under other recognition features exist multiple, preferred distanceFrom recognition feature B2Minimum, or keep synchronization-moving as object the second recognition feature. Collaborative placeReason module 5 sends track identification feature B simultaneously to telephone network 1 and navigator fix net 31With recognition feature C1Instruction.
Or, in the time finding non-object the second recognition feature, can be as required by geographical position Z3With geographical positionPut Z1Distance be set as 1000 meters. Associated treatment module 5 can be identified to described non-object second according to demandFeature pushed information, such as the condition of a disaster, alert or assistance information etc.
Fig. 7 is that multi-network cooperative of the present invention is followed the trail of method for early warning the 3rd embodiment, according to the network ip address of objectD1Obtain telephone number B1Flow process. By human-computer interaction module 6 input or internet 2 Auto-Sensings to depositingAt the network IP of alert D1After, feeding back to associated treatment module 5, described associated treatment module 5 sends locationInstruction is to internet 2, and described internet 2 obtains current geographic position Z4Generate identifying information A4(X3,D1,Z4) and feed back to described associated treatment module 5, wherein X3Represent recognition feature D1Affiliated can fixer network beInternet, D1Represent object recognition feature, Z4Represent object current geographic position information. Described collaborativeProcessing module 5 is searched rear discovery and is covered geographical position Z4Can fixer network be telephone network 1, then to 1 of telephone networkSend the solicited message of finding other recognition features of object. Described telephone network 1 is searched current geographic position Z4NearRelevant the second recognition feature B existing3, relevant the second recognition feature comprises object the second recognition feature and non-Object the second recognition feature, generates other identifying informations of object A5(X1,B3,Z5) and feed back to associationWith processing module 5, wherein X1Represent recognition feature B3Affiliated can fixer network be telephone network, B3Represent targetThing recognition feature, Z5Represent object current geographic position information. Associated treatment module 5 is by identifying information A4(X3,D1,Z4) and identifying information A5(X1,B3,Z5) be stored in memory module 7.
In the time finding object the second recognition feature, geographical position Z5With geographical position Z4At a distance of the smaller the better,Preferably two-address distance is 0 meter. If current address Z4Under other recognition features exist multiple, preferred distanceFrom recognition feature D1Minimum, or keep synchronization-moving as object the second recognition feature. Collaborative placeReason module 5 sends track identification feature D simultaneously to internet 3 and telephone network 11With recognition feature B3Instruction.
Or, in the time finding non-object the second recognition feature, can be as required by geographical position Z5With geographical positionPut Z4Distance be set as 1000 meters. Associated treatment module 5 can be identified to described non-object second according to demandFeature pushed information, comprises the condition of a disaster, alert or assistance information etc.
Fig. 8 is that multi-network cooperative of the present invention is followed the trail of method for early warning the 4th embodiment, according to the telephone number B of object4Obtain image E1Flow process. By human-computer interaction module 6 input or telephone network 1 Auto-Sensing to there being alertTelephone number B4After, feeding back to associated treatment module 5, described associated treatment module 5 is to 1 of described telephone networkSend positioning instruction, telephone network 1 is to described telephone number B4Location, obtains current geographic position Z6Rear generation identificationInformation A6(X1,B4,Z6) and feed back to described associated treatment module 5, wherein X1Represent recognition feature B4InstituteWhat belong to can fixer network be telephone network 1, B4Represent object recognition feature, Z6Represent the current geographical position of objectPut information. Described associated treatment module 5 is searched rear discovery and is covered geographical position Z6Can fixer network be video prisonControl net 4, sends to video monitoring net 4 solicited message of finding other recognition features of object then. Described videoMonitoring network 4 is according to object geographical position Z6, call corresponding video frequency pick-up head and obtain current frame image, according to working asFront camera geographical position and orientation information, calculate the relative position between object and current video cameraInformation, thus from current frame image lock-related the second recognition feature E1, relevant the second recognition feature comprisesObject the second recognition feature and non-object the second recognition feature, generate other identifying informations of object A7(X4,E1,Z7) and feed back to associated treatment module 5, X4Represent recognition feature E1Affiliated can fixer network be videoMonitoring network 4. Associated treatment module 5 is by identifying information A6(X1,B4,Z6) and identifying information A7(X4,E1,Z7) be stored in memory module 7,
In the time finding object the second recognition feature, geographical position Z7With geographical position Z6At a distance of the smaller the better,Good two-address distance is 0 meter. If current address Z7Under other recognition features exist multiple, preferred distance knowOther feature B4Minimum, or keep synchronization-moving as object the second recognition feature. Even can rootCompare in identity information storehouse according to object image, search the identity information of current goal thing.
Or, in the time finding non-object the second recognition feature, can be as required by geographical position Z7With geographical positionPut Z6Distance be set as 1000 meters. Associated treatment module 5 is by identifying information A6(X1,B4,Z6) and identificationInformation A7(X4,E1,Z7) be stored in memory module 7, even can believe in identity according to object imageBreath is compared in storehouse, searches the identity information of current goal thing.
According to known geographical locations and camera geographical position and towards, calculate object in current frame imageRelative position, be prior art, do not repeating at this.
When described the first recognition feature be No. QQ or/and micro-signal or/and when the social account such as Ali is prosperous,Obtain the second recognition feature according to above-mentioned the first recognition feature, need to first identify described the first recognition feature logicalWhat when letter, adopt can fixer network. If what described the first recognition feature adopted in the time of communication can network for locationNetwork is internet 2, first obtain described first recognition feature use IP address (this belongs to prior art,This does not repeat), obtain geographical location information by described IP address, thereby seek based on same geographic location informationLook for the second recognition feature, this is existing in multi-network cooperative of the present invention described in Fig. 6 is followed the trail of method for early warning the 3rd embodimentSpecific embodiment, repeats no more inferior. If what described the first recognition feature adopted in the time of communication locatesNetwork is telephone network 1, can obtain the telephone number that described the first recognition feature is used, by described phone numberCode obtains geographical location information; Also can directly call the built-in positioning chip of the first recognition feature logging deviceLocation obtains geographical location information; Thereby based on other recognition features of same geographic location information searching, thisDescribed in Fig. 5, multi-network cooperative of the present invention is followed the trail of an existing specific embodiment in method for early warning the second embodiment, inferiorRepeat no more.
Above example is all the example of being found another recognition feature by a recognition feature, special by an identificationLevy and search out multiple other recognition features, only need follow the trail of simultaneously or store multiple targets, be not repeated herein.
Above embodiment can be summarized in a kind of multi-network cooperative and follow the trail of method for early warning, specifically comprises step:
Described multi-network cooperative is followed the trail of method for early warning and is comprised the steps:
A, obtain object the first recognition feature Y1And affiliated can fixer network X1
The geographical position Z of B, acquisition object1, generate object the first identifying information A1(X1,Y1,Z1);
C, searching cover geographical position Z1Can fixer network X2
D, can fixer network X2Lower searching object is at geographical position Z1Near relevant the second recognition featureY2, generate the second identifying information A2(X2,Y2,Z2),Z2Represent the second recognition feature Y2Current geographical positionPut.
Preferably, described relevant the second recognition feature comprises object the second recognition feature and non-object secondRecognition feature.
Preferably, described multi-network cooperative tracking method for early warning further comprises:
Record respectively described the first recognition feature and relevant the second recognition feature.
Preferably, described multi-network cooperative tracking method for early warning further comprises:
Follow the trail of respectively described the first recognition feature and object the second recognition feature.
Preferably, described multi-network cooperative tracking method for early warning further comprises:
To described non-object the second recognition feature pushed information.
Preferably, described the first recognition feature comprises: phone number or/and network ip address or/and navigator fixTerminal recognition code or/and video image or/and social account.
Preferably, described the second recognition feature comprises: phone number or/and network ip address or/and navigator fixTerminal recognition code or/and video image or/and social account.
Preferably, in the time that described the first recognition feature is video image, obtain the geographical location information of objectComprise the steps:
B1, obtain current video camera geographical position and orientation information;
Relative position information between B2, calculating object and current video camera;
The geographical location information of B3, calculating object.
Preferably, in the time that described the second recognition feature is video image, find the second recognition feature of objectComprise the steps:
D1, obtain the geographical location information of object;
D2, obtain current video camera geographical position and orientation information;
Relative position information between D3, calculating object and current video camera, thus object obtainedThe second recognition feature.
Preferably, described can comprising by fixer network: telephone network or/and internet or/and navigator fix net or/and lookFrequently monitoring network.
Preferably, in the time that described the second recognition feature is video image, further comprise the steps:
F, obtain current frame image,
G, compare in identity information storehouse according to object image, search the identity information of current goal thing.
Preferably, described navigator fix terminal comprises: GPS location receiving terminal, Big Dipper location receiving terminal, latticeLuo Nasi location receiving terminal, Galileo location receiving terminal.
Preferably, in the time finding object the second recognition feature, described the first recognition feature and described second is knownThe geographical position of other feature is less than 100 meters apart.
Preferably, in the time finding object the second recognition feature, described the first recognition feature and described second is knownThe geographical position of other feature is 0 meter apart.
Preferably, in the time finding object the second recognition feature, when described the second recognition feature exists when multiple,Preferred distance the first recognition feature is nearest, or keeps synchronization-moving one.
Optionally, in the time finding non-object the second recognition feature, described the first recognition feature and described secondRecognition feature distance is 1000 meters.
Described multi-network cooperative is followed the trail of early warning system and is comprised:
At least one connection in associated treatment module can fixer network; Describedly can be used for obtaining order by fixer networkThe first recognition feature and second recognition feature of mark thing also located object; Described associated treatment module, rootAccording to object the first recognition feature, what start correspondence can obtain corresponding geographical position by fixer network, searches currentCan fixer network under geographical position, call correspondence and can search object the second recognition feature by fixer network.
Preferably, described multi-network cooperative is followed the trail of early warning system and is also comprised: be suitable for and be connected in described each can determineThe contact terminal of position network, for pushing alert or assistance information to described non-object the second recognition feature.
Preferably, described multi-network cooperative tracking early warning system also comprises and depositing that described associated treatment module is connectedStorage module, for storing the corresponding geographic address information of fixed line number, the corresponding geographical position of video frequency pick-up head and courtTo information; Can also store described the first identifying information, the second identifying information;
Preferably, described multi-network cooperative tracking early warning system also comprises the people who is connected with described associated treatment moduleMachine interactive module, for gathering the first recognition feature.
Preferably, described multi-network cooperative tracking early warning system also comprises an identity information bank, described identity informationIn storehouse, store character image and identity information, described identity information storehouse is connected with described associated treatment module,The video figure that described associated treatment module is obtained compares, and searches the identity information of object.
Preferably, described the first recognition feature is: phone number or/and network ip address or/and navigator fix eventuallyEnd identification code is or/and video image, social account.
Preferably, described the second recognition feature is: phone number or/and network ip address or/and navigator fix eventuallyEnd identification code is or/and video image, social account.
Preferably, described can comprising by fixer network: telephone network or/and internet or/and navigator fix net or/and lookFrequently monitoring network.

Claims (10)

1. multi-network cooperative is followed the trail of method for early warning, comprises the steps:
A, obtain object the first recognition feature Y1And affiliated can fixer network X1
The geographical position Z of B, acquisition object1, generate object the first identifying information A1(X1,Y1,Z1);
C, searching cover geographical position Z1Can fixer network X2
D, can fixer network X2Lower searching object is at geographical position Z1Near relevant the second recognition featureY2, generate the second identifying information A2(X2,Y2,Z2),Z2Represent the second recognition feature Y2Current geographical positionPut.
2. multi-network cooperative according to claim 1 is followed the trail of method for early warning, it is characterized in that described the first identification is specialLevy and comprise: phone number or/and network ip address or/and navigator fix terminal recognition code or/and video image or/andSocial account; Described relevant the second recognition feature comprises: phone number or/and network ip address or/and navigation is fixedPosition terminal recognition code or/and video image or/and social account.
3. multi-network cooperative according to claim 1 is followed the trail of method for early warning, it is characterized in that described relevant second knowsOther feature comprises object the second recognition feature and non-object the second recognition feature.
4. multi-network cooperative according to claim 1 is followed the trail of method for early warning, it is characterized in that described multi-network cooperative chases afterTrack method for early warning further comprises:
Record respectively described the first recognition feature and relevant the second recognition feature.
5. multi-network cooperative according to claim 3 is followed the trail of method for early warning, it is characterized in that described multi-network cooperative chases afterTrack method for early warning further comprises:
To described non-object the second recognition feature pushed information.
6. multi-network cooperative according to claim 1 is followed the trail of method for early warning, it is characterized in that when described the first identificationWhile being characterized as video image, the geographical location information that obtains object comprises the steps:
B1, obtain current video camera geographical position and orientation information;
Relative position information between B2, calculating object and current video camera;
The geographical location information of B3, calculating object.
7. multi-network cooperative according to claim 1 is followed the trail of method for early warning, can fixer network described in it is characterized in thatFor: telephone network or/and internet or/and navigator fix net or/and video monitoring net; Described navigator fix terminal bagDraw together: GPS location receiving terminal, Big Dipper location receiving terminal, GLONASS location receiving terminal, Galileo location connectReceiving end.
8. multi-network cooperative is followed the trail of early warning system, comprising: at least one connection in associated treatment module can fixer network;Described can being used for obtaining the first recognition feature and second recognition feature of object and object being determined by fixer networkPosition; Described associated treatment module, according to object the first recognition feature, starts corresponding can obtaining by fixer networkGet corresponding geographical position, searching under current geographic position can fixer network, calls correspondence and can search by fixer networkObject the second recognition feature.
9. multi-network cooperative according to claim 8 is followed the trail of early warning system, characterized by further comprising one with described inThe memory module that associated treatment module connects, for storing the corresponding geographic address information of fixed line number, video is taken the photographPicture corresponding geographical position and orientation information; Can also store described the first recognition feature, the second recognition featureAnd corresponding can fixer network and geographical location information.
10. multi-network cooperative according to claim 8 is followed the trail of early warning system, it is characterized in that described multi-network cooperativeFollow the trail of early warning system and also comprise an identity information bank, described identity information stores character image and identity in storehouseInformation, described identity information storehouse is connected with described associated treatment module, and described associated treatment module is obtainedVideo figure compares, and searches the identity information of object.
CN201510998023.0A 2014-12-26 2015-12-24 Multi-network cooperative tracking early-warning method and system Pending CN105681613A (en)

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