Tracking the Use of at Least One Destination Location

Abstract

Tracking the use of at least one destination location is disclosed. Initially, one or more first images of a parking display ticket within a vehicle that is occupying a destination location are received from a first camera of an unmanned air vehicle that is configured to be autonomously operated. Parking information for the vehicle occupying the destination location is determined based on at least one of the one or more first images of the parking display ticket. A unique identifier of the vehicle occupying the destination location is also determined. The parking information for and the unique identifier of the vehicle occupying the destination location is then indicated.

1 . (canceled) 
     
     
         2 . A computer-implemented method of tracking at least one object, the method comprising:
 determining, based on at least one of a plurality of first images, a first static characteristic of a first object;   determining, based on at least one other of the plurality of first images, a second static characteristic of the first object;   determining, based on at least two of the plurality of first images, a first dynamic characteristic of the first object;   determining, based on at least two other of the plurality of first images, a second dynamic characteristic of the first object;   determining that the second static characteristic is approximately equal to the first static characteristic and that the second dynamic characteristic is approximately equal to the first dynamic characteristic; and   determining, in response to the approximate equivalence between the second static characteristic and the first static characteristic and the approximate equivalence between the second dynamic characteristic and the first dynamic characteristic, that the first object is moving, wherein:   the first static characteristic and the second static characteristic are characteristics of the first object that are constant over time, and   the first dynamic characteristic and the second dynamic characteristic are characteristics of the first object that change over time.   
     
     
         3 . The method of  claim 2 , further comprising receiving, from a first camera having a first field of view, the plurality of first images showing the first object. 
     
     
         4 . The method of  claim 3 , wherein the at least one other of the plurality of first images and the at least two other of the plurality of first images are received from a second camera having a second field of view different from the first field of view and partially overlaps with the first field of view. 
     
     
         5 . The method of  claim 4 , wherein the second camera is included in an unmanned air vehicle that is configured to be autonomously operated. 
     
     
         6 . The method of  claim 3 , further comprising determining a unique identifier of the first object. 
     
     
         7 . The method of  claim 6 , further comprising:
 receiving one or more second images from a second camera having a second field of view that is different from the first field of view,   wherein determining the unique identifier of the first object comprises determining the unique identifier of the first object based on the one or more second images.   
     
     
         8 . The method of  claim 6 , wherein determining the unique identifier of the first object comprises receiving the unique identifier of the first object. 
     
     
         9 . The method of  claim 6 , wherein the unique identifier of the first object is a license plate number, a one-dimensional bar code, or a matrix bar code associated with the first object. 
     
     
         10 . The method of  claim 2 , wherein:
 the first static characteristic is one or more of a color, an outline, a size, and a dimension of the first object, and   the second static characteristic is one or more of a color, an outline, a size, and a dimension of the first object.   
     
     
         11 . The method of  claim 2 , wherein:
 the first dynamic characteristic is one or more of a first speed of travel and a first direction of travel of the first object, and   the second dynamic characteristic is one or more of a second speed of travel and a second direction of travel of the first object.   
     
     
         12 . The method of  claim 2 , further comprising:
 comparing the second static characteristic to the first static characteristic; and   comparing the second dynamic characteristic to the first dynamic characteristic.   
     
     
         13 . The method of  claim 2 , wherein the first object is a first pedestrian, a first wheeled transportation apparatus, or a first vehicle. 
     
     
         14 . The method of  claim 2 , wherein determining that the first object is moving comprises determining that the first object is traversing a portion of a roadway or a walkway. 
     
     
         15 . The method of  claim 2 , further comprising:
 receiving, from a third-party parking payment system, payment information specifying a period of time that was received by the third-party parking payment system; and   associating the period of time with the first object.   
     
     
         16 . The method of  claim 15 , wherein the third-party parking payment system is a third-party pay-by-space parking payment system, a third-party pay-and-display parking payment system, or a third-party curbside parking meter payment system. 
     
     
         17 . The method of  claim 15 , wherein associating the period of time with the first object comprises determining that a pedestrian traveled between the first object and a payment station of the third-party parking payment system. 
     
     
         18 . The method of  claim 2 , further comprising providing real-time tracking of the first object to a law enforcement or security system. 
     
     
         19 . The method of  claim 18 , wherein providing the real-time tracking of the first object to the law enforcement or the security system comprises forwarding a location of the first object to the law enforcement or the security system. 
     
     
         20 . A system for tracking at least one object, the system comprising one or more processors connected to at least one storage device, the system being configured to:
 determine, based on at least one of a plurality of first images, a first static characteristic of a first object;   determine, based on at least one other of the plurality of first images, a second static characteristic of the first object;   determine, based on at least two of the plurality of first images, a first dynamic characteristic of the first object;   determine, based on at least two other of the plurality of first images, a second dynamic characteristic of the first object;   determine that the second static characteristic is approximately equal to the first static characteristic and that the second dynamic characteristic is approximately equal to the first dynamic characteristic; and   determine, in response to the approximate equivalence between the second static characteristic and the first static characteristic and the approximate equivalence between the second dynamic characteristic and the first dynamic characteristic, that the first object is moving, wherein:   the first static characteristic and the second static characteristic are characteristics of the first object that are constant over time, and   the first dynamic characteristic and the second dynamic characteristic are characteristics of the first object that change over time.   
     
     
         21 . A storage device storing a computer program for tracking at least one object, the computer program comprising one or more code segments that, when executed, cause one or more processors to:
 determine, based on at least one of a plurality of first images, a first static characteristic of a first object;   determine, based on at least one other of the plurality of first images, a second static characteristic of the first object;   determine, based on at least two of the plurality of first images, a first dynamic characteristic of the first object;   determine, based on at least two other of the plurality of first images, a second dynamic characteristic of the first object;   determine that the second static characteristic is approximately equal to the first static characteristic and that the second dynamic characteristic is approximately equal to the first dynamic characteristic; and   determine, in response to the approximate equivalence between the second static characteristic and the first static characteristic and the approximate equivalence between the second dynamic characteristic and the first dynamic characteristic, that the first object is moving, wherein:   the first static characteristic and the second static characteristic are characteristics of the first object that are constant over time, and   the first dynamic characteristic and the second dynamic characteristic are characteristics of the first object that change over time.