Mobile device inference and location prediction of a moving object of interest

Abstract

A first set of data may be received indicating that an object of interest has been identified. A second set of data may be received indicating a first location of where the object of interest was identified. The first location may correspond to a geographical area. In response to the receiving of the first set of data and the second set of data, the first location may be associated with a first transceiver base station. In response to the associating, a first list of one or more mobile devices may be obtained that are within an active range of the first transceiver base station.

1 . A computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a computing device to:
 receive a first set of data indicating identification of an object of interest and a first location of where the object of interest was identified, the object of interest being a person and the first set of data including a set of facial features;   associate the first location with a first transceiver base station, wherein the first transceiver base station is proximate to the first location;   receive a second set of data indicating that the object of interest was identified at a second location;   associate, in response to the receiving of the second set of data, the second location with a second transceiver base station;   determine one or more mobile device identifiers associated with the first transceiver base station are in common with mobile device identifiers associated with the second transceiver base station; and   in response to receiving the first set of data indicating identification of the object of interest and determining which mobile device identifiers are common among the first transceiver base and the second transceiver base, transmit a notification to a second computing device indicating identification of the object of interest, the mobile device identifiers, and the first and second locations.   
     
     
         2 . The computer program product of  claim 1 , wherein the program code is further executable by the computing device to:
 obtain a first list of one or more mobile devices that are within an active range of the first transceiver base station; and   obtain a second list of one or more mobile devices within an active range of the second transceiver base station.   
     
     
         3 . The computer program product of  claim 2 , wherein determining one or more mobile device identifiers includes determining which mobile device identifiers associated with the first transceiver base station are in common with the mobile device identifiers associated with the second transceiver base station. 
     
     
         4 . The computer program product of  claim 3 , wherein the program code is further executable by the computing device to:
 infer a first mobile device identifier associated with the object of interest based on the mobile device identifiers which are determined to be common among the first transceiver base station and the second transceiver base station.   
     
     
         5 . The computer program product of  claim 3 , wherein the program code is further executable by the computing device to:
 generate a location prediction estimate for a position of the object of interest at a future time based on identifying the object of interest at the first location and the second location.   
     
     
         6 . The computer program product of  claim 5 , wherein the location prediction estimate is generated based on one or more of a history of where the object of interest has been identified, a speed limit, real time data provided by a mobile device associated with the object of interest, a location interest associated with the object of interest, a geographical layout of the first location, and traffic data. 
     
     
         7 . (canceled) 
     
     
         8 . A computer-implemented method comprising:
 receiving a first set of data indicating identification of an object of interest and a first location of where the object of interest was identified, the object of interest being a person and the first set of data including a set of facial features;   associating the first location with a first transceiver base station, wherein the first transceiver base station is proximate to the first location;   receiving a second set of data indicating that the object of interest was identified at a second location;   associating, in response to the receiving of the second set of data, the second location with a second transceiver base station;   determining one or more mobile device identifiers associated with the first transceiver base station are in common with mobile device identifiers associated with the second transceiver base station; and   in response to receiving the first set of data indicating identification of the object of interest and determining which mobile device identifiers are common among the first transceiver base and the second transceiver base, transmitting a notification to a second computing device indicating identification of the object of interest, the mobile device identifiers, and the first and second locations.   
     
     
         9 . The computer-implemented method of  claim 8 , wherein the method further comprises:
 obtaining a first list of one or more mobile devices that are within an active range of the first transceiver base station; and   obtaining a second list of one or more mobile devices within an active range of the second transceiver base station.   
     
     
         10 . The computer-implemented method of  claim 9 , wherein determining one or more mobile device identifiers includes determining which mobile device identifiers associated with the first transceiver base station are in common with the mobile device identifiers associated with the second transceiver base station. 
     
     
         11 . The computer-implemented method of  claim 10 , wherein the method further comprises:
 inferring a first mobile device identifier associated with the object of interest based on the mobile device identifiers which are determined to be common among the first transceiver base station and the second transceiver base station.   
     
     
         12 . The computer-implemented method of  claim 10 , wherein the method further comprises:
 generating a location prediction estimate for a position of the object of interest at a future time based on identifying the object of interest at the first location and the second location.   
     
     
         13 . The computer-implemented method of  claim 12 , wherein the location prediction estimate is generated based on one or more of a history of where the object of interest has been identified, a speed limit, real time data provided by a mobile device associated with the object of interest, a location interest associated with the object of interest, a geographical layout of the first location, and traffic data. 
     
     
         14 . (canceled) 
     
     
         15 . A system, comprising:
 one or more processors; and   a computer readable storage medium coupled to the one or more processors, the computer readable storage medium having program instructions embodied therewith, the program instructions, when executed by the one or more processors, cause the one or more processors to:
 receive a first set of data indicating identification of an object of interest and a first location of where the object of interest was identified, the object of interest being a person and the first set of data including a set of facial features; 
 associate the first location with a first transceiver base station, wherein the first transceiver base station is proximate to the first location; 
 receive a second set of data indicating that the object of interest was identified at a second location; 
 associate, in response to the receiving of the second set of data, the second location with a second transceiver base station; 
 determine one or more mobile device identifiers associated with the first transceiver base station are in common with mobile device identifiers associated with the second transceiver base station; and 
 in response to receiving the first set of data indicating identification of the object of interest and determining which mobile device identifiers are common among the first transceiver base and the second transceiver base, transmit a notification to a second computing device indicating identification of the object of interest, the mobile device identifiers, and the first and second locations. 
   
     
     
         16 . The system of  claim 15 , wherein the program code is further executable by the one or more processors to:
 obtain a first list of one or more mobile devices that are within an active range of the first transceiver base station; and   obtain a second list of one or more mobile devices within an active range of the second transceiver base station.   
     
     
         17 . The system of  claim 16 , wherein determining one or more mobile device identifiers includes determining which mobile device identifiers associated with the first transceiver base station are in common with the mobile device identifiers associated with the second transceiver base station. 
     
     
         18 . The system of  claim 17 , wherein the program code is further executable by the one or more processors to:
 infer a first mobile device identifier associated with the object of interest based on the mobile device identifiers which are determined to be common among the first transceiver base station and the second transceiver base station.   
     
     
         19 . The system of  claim 17 , wherein the program code is further executable by the one or more processors to:
 generate a location prediction estimate for a position of the object of interest at a future time based on identifying the object of interest at the first location and the second location.   
     
     
         20 . (canceled)