System and method for prediction of threatened points of interest

• US 9,607,500 B2
• Filed: 04/23/2013
• Issued: 03/28/2017
• Est. Priority Date: 04/23/2012
• Status: Active Grant

• Current Assignee: Cognyte Technologies Israel Ltd. (Cognyte Software Ltd.)
• Original Assignee: Verint Systems Limited (Verint Systems Incorporated)
• Inventors: Hazzani, Gideon
• Primary Examiner(s): Phan, Hai
• Assistant Examiner(s): Yu, Royit
• Application Number:
  US13/868,223
• Publication Number:
  US 20130342346A1
• Time in Patent Office: 1,435 Days
• Field of Search: 340/286.02, 340/293, 340/539.13, 712/200, 455/404.2
• US Class Current: 1/1
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G08B 23/00 Alarms responsive to unspecified undesired or abnormal conditions
• CPC Class Codes: G08B 31/00 Predictive alarm systems characterised by extrapolation or other computation using updated historic data
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Embodiments that are described herein provide improved methods and systems for predicting threatened POIs. In some embodiments, an automated location tracking system tracks the locations of one or more target individuals. The locations of the target individuals may be tracked, for example, by tracking the cellular phones of the targets, or using various other automated location tracking techniques. Based on the tracked locations, a prediction system anticipates the future locations of the targets. Over time, the system uses this information to progressively narrow down the list of possibly-threatened POIs.

Claims

1. A method comprising:

constructing, by one or more processing units, characteristic location profiles for one or more target individuals that are suspected of preparing for a terrorist attack, wherein the location profile of each target individual comprises characteristic location of the target individual in a given geographical area over time, wherein the characteristic location profiles are stored on one or more memory devices;

tracking, by an automated location tracking system, locations of mobile communication terminals operated by the target individuals in a wireless network as the target individuals move about the given geographical area;

predicting, by the one or more processing units, future location trajectories of the mobile communication terminals, in real-time, based on the tracked locations of the target individuals and the location profiles of the target individuals;

receiving, by the one or more processing units, information regarding a plurality of Points of Interest (POIs), wherein the information is received from a POI model database stored on the one or more memory devices;

predicting, by the one or more processing units, a subset of the POIs that are threatened by the target individuals, the prediction being based on the tracked locations of the target individuals, the predicted future location trajectories of the target individuals and the received POI location information, wherein the predicted subset of POIs is updated over time upon the predicted future location trajectories being updated; and

indicating the predicted subset of the POIs to an operator upon the subset being predicted or updated.

2. The method according to claim 1, wherein the one or more target individuals comprise only a single target individual, and wherein updating the predicted subset comprises finding one or more of the POIs of the predicted subset that are in proximity to a predicted future location trajectory of the single target individual.

3. The method according to claim 1, wherein the one or more target individuals comprise multiple target individuals, and wherein updating the predicted subset comprises finding an intersection point of the predicted future location trajectories, and finding one or more of the POIs of the predicted subset that are in proximity to the intersection point.

4. The method according to claim 1, wherein updating the predicted subset comprises identifying a threatened region within the given geographical area, and finding one or more of the POIs of the predicted subset that are located inside the threatened region.

5. The method according to claim 1, wherein predicting the predicted subset comprises receiving an indication that one or more of the POIs are mentioned in monitored communication of the target individuals, and defining the subset of the POIs based on the indication.

6. The method according to claim 1, wherein updating the predicted subset comprises receiving a verification of an accuracy of the subset of the POIs, and modifying the subset based on the verification.

7. An apparatus comprising:

a memory, which is configured to hold characteristic location profiles constructed for one or more target individuals that are suspected of preparing for a terrorist attack, wherein the location profile of each target individual comprises characteristic location of the target individual in a given geographical area over time, and hold a POI model database comprising information regarding a plurality of Points of Interest (POIs); and

an automated location tracking system, which is configured to track locations of mobile communication terminals operated by the target individual in a wireless network as the target individuals move about the given geographical area;

a processor, which is configured to;

receive the tracked locations of the target individuals from the automated location tracking system;

predict future location trajectories of the mobile communication terminals, in real-time, based on the tracked locations of the target individuals and the location profiles of the target individuals;

receive information regarding a plurality of Points of Interest (POIs), wherein the information is received from a POI model database stored on the one or more memory devices;

predict a subset of the POIs that are threatened by the target individuals, the prediction being based on the tracked locations of the target individuals, the predicted future location trajectories of the target individuals and the received POI location information, wherein the predicted subset of POIs is reduced over time upon the predicted future location trajectories being updated; and

indicate the predicted subset of the POIs to an operator upon the subset being predicted or updated.

8. The apparatus according to claim 7, wherein the one or more target individuals comprise only a single target individual, and wherein the processor is configured to update the predicted subset by finding one or more of the POIs of the predicted subset that are in proximity to a predicted future location trajectory of the single target individual.

9. The apparatus according to claim 7, wherein the one or more target individuals comprise multiple target individuals, and wherein the processor is configured to update the predicted subset by finding an intersection point of the predicted future location trajectories, and finding one or more of the POIs of the predicted subset that are in proximity to the intersection point.

10. The apparatus according to claim 7, wherein the processor is configured to update the predicted subset by identifying a threatened region within the given geographical area, and finding one or more of the POIs of the predicted subset that are located inside the threatened region.

11. The apparatus according to claim 7, wherein the processor is configured to receive an indication that one or more of the POIs are mentioned in monitored communication of the target individuals, and to define the subset of the POIs based on the indication.

12. The apparatus according to claim 7, wherein the processor is configured to receive a verification of an accuracy of the subset of the POIs, and to modify the subset based on the verification.