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.

Abstract: Tracking an object using an unmanned aerial vehicle is disclosed. A plurality of images showing the object is received from a camera of the unmanned aerial vehicle. A first static characteristic, a second static characteristic, a first dynamic characteristic, and a second dynamic characteristic of the object are determined. The second static characteristic is compared to the first static characteristic, and the second dynamic characteristic is compared to the first dynamic characteristic. It is determined 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. Finally, it is determined that the object is moving.

Abstract: Tracking and tolling an object, such as a vehicle, are disclosed. It may be determined that the object has crossed a geographic boundary or moved a determined distance. A cost may be determined and charged for the object moving past the geographic boundary or moving the determined distance. Tracking the use of at least one destination location is also disclosed. It may be determined that a first vehicle is stopped at a destination location and a first amount may be charged to an account associated with the first vehicle. The first vehicle may be charged based on one or more characteristics such as passenger drop-off or pick-up. It may also be determined that a second vehicle is stopped at the destination location. A second, different amount may be charged to an account associated with the second vehicle because the second vehicle has characteristics not present in the first vehicle.

Abstract: Tracking an object using an unmanned aerial vehicle is disclosed. A plurality of images showing the object is received from a camera of the unmanned aerial vehicle. A first static characteristic, a second static characteristic, a first dynamic characteristic, and a second dynamic characteristic of the object are determined. The second static characteristic is compared to the first static characteristic, and the second dynamic characteristic is compared to the first dynamic characteristic. It is determined 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. Finally, it is determined that the object is moving.

Abstract: Tracking a vehicle using an unmanned aerial vehicle is disclosed. One or more first images may be received from a first camera of the first unmanned aerial vehicle located at a first location. A parking violation committed by a first vehicle may be determined in at least one of the one or more first images. The first unmanned aerial vehicle may be then repositioned. One or more second images having the second field of view and showing the first vehicle may then be received. A unique identifier of the first vehicle may then be determined based on at least one of the one or more second images.

Abstract: Providing human review of an image stream for a parking camera system is disclosed. Initially, a first image stream is received from a first camera having a first field of view showing a first vehicle or at least one destination location. Next, it is determined that a value for the at least one type of information relating to the at least one destination location or the first vehicle has failed to be automatically detected. In response, an exemption event is generated. Presentation of the at least part of the first image stream to a human operator is then enabled. Finally, the value for the at least one type of information relating to the at least one destination location or the first vehicle is received from the human operator.

Abstract: Tracking at least one object is disclosed. Initially, four or more first images are received showing a first object. First static and dynamic characteristics and second static and dynamic characteristics of the first object are determined. The second static characteristic is compared to the first static characteristic and the second dynamic characteristic is compared to the first dynamic characteristic. It is then determined that the first object is moving.

Abstract: Tracking a vehicle using an unmanned aerial vehicle is disclosed. One or more first images may be received from a first camera of the first unmanned aerial vehicle located at a first location. A parking violation committed by a first vehicle may be determined in at least one of the one or more first images. The first unmanned aerial vehicle may be then repositioned. One or more second images having the second field of view and showing the first vehicle may then be received. A unique identifier of the first vehicle may then be determined based on at least one of the one or more second images.

Abstract: Tracking a vehicle using an unmanned aerial vehicle is disclosed. One or more first images may be received from a first camera of the first unmanned aerial vehicle located at a first location. A unique identifier of a first vehicle may be determined to be not identifiable in at least one of the one or more first images. The first unmanned aerial vehicle may be then repositioned. One or more second images having the second field of view and showing the first vehicle may then be received. The unique identifier of the first vehicle may then be determined based on at least one of the one or more second images.

Abstract: Defining destination locations and restricted locations within an image stream is disclosed. Initially, a first image stream is received from a first camera having a first field of view, where the first field of view includes at least one destination location and at least one restricted location. Next, first boundaries of the at least one destination location and a first description of one or more rules associated with the at least one destination location are received. A first identifier is then assigned to the at least one destination location. Next, second boundaries of the at least one restricted location and a second description of one or more rules associated with the at least one restricted location are received. Finally, the first boundaries, the first description of one or more rules, the first identifier, the second boundaries, and the second description of one or more rules are saved.

Abstract: Tracking use of a destination location is disclosed. A unique identifier of a first vehicle based on a sensor located within the first vehicle is received. Next, based on a first location of the first vehicle received based on a sensor located within the first vehicle, it is determined that the first vehicle is occupying the destination location at a second time. Next, based on a second location of the first vehicle received based on the sensor located within the first vehicle, it is determined that the first vehicle has left the destination location at a third time. Finally, it is indicated that the first vehicle began use of the destination location at the second time and that the first vehicle completed use of the destination location at the third time.

Abstract: Tracking a vehicle using an unmanned aerial vehicle is disclosed. One or more first images may be received from a first camera of the first unmanned aerial vehicle located at a first location. A unique identifier of a first vehicle may be determined to be not identifiable in at least one of the one or more first images. The first unmanned aerial vehicle may be then repositioned. One or more second images having the second field of view and showing the first vehicle may then be received. The unique identifier of the first vehicle may then be determined based on at least one of the one or more second images.

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.

Abstract: Tracking at least one pedestrian is disclosed. Initially, four or more first images are received showing a first pedestrian and a roadway or a walkway. First static and dynamic characteristics and second static and dynamic characteristics of the first pedestrian are determined. The second static characteristic is compared to the first static characteristic and the second dynamic characteristic is compared to the first dynamic characteristic. It is then determined that the first pedestrian is traversing a portion of the roadway or the walkway.

Abstract: Tracking the use of at least one destination location is disclosed. Initially, four or more first images are received from a first camera having a first field of view. It is then determined that the first vehicle is stopped within the at least one destination location at a first time and that the first vehicle has left the at least one destination location at a second time. A first characteristic of an occupant of the first vehicle based on a first image is determined to correspond to a second characteristic of the occupant of the first vehicle based on a second image. It is then determined that the occupant of the first vehicle traveled between the first vehicle and a payment station. Payment information specifying a period of time that was received by a third-party parking payment system is received. The period of time is then associated with the first vehicle.

Abstract: Tracking the use of at least one destination location is disclosed. Initially, four or more first images are received from a first camera having a first field of view. It is then determined that the first vehicle is stopped within the at least one destination location at a first time and that the first vehicle has left the at least one destination location at a second time. A first characteristic of an occupant of the first vehicle based on a first image is determined to correspond to a second characteristic of the occupant of the first vehicle based on a second image. It is then determined that the occupant of the first vehicle traveled between the first vehicle and a payment station. Payment information specifying a period of time that was received by a third-party parking payment system is received. The period of time is then associated with the first vehicle.

Abstract: Tracking speeding violations and the use of at least one destination location are disclosed. Initially, two or more first images are received from a first camera, two or more second images are received from a second camera having a different field of view, and two or more third images are received from a third camera having a field of view overlapping with the field of the view of the second camera. Next, a speed of the first vehicle at a first time is determined. It is determined that the first vehicle exceeded a first predetermined speed limit at the first time. A unique identifier of the first vehicle and the speed of the first vehicle at the first time are then indicated. Next, it is determined that the second vehicle is stopped in the at least one destination location at a second time and that the second vehicle has left the at least one destination location at a third time that is after the second time.

Abstract: Defining a handoff zone for tracking a vehicle between cameras is disclosed. Initially, a first image stream is received from a first camera having a first field of view. A second image stream is also received from a second camera having a second field of view, where the second field of view is different from and at least partially overlapping with the first field of view. Next, an overlap area that defines the overlap between the first image stream and the second image stream is determined. A handoff zone within the overlap area is then determined, where tracking of the vehicle is passed from the first camera to the second camera after the vehicle enters the handoff zone. Finally, boundaries of the handoff zone are stored.

Abstract: Indicating payment for use of a destination location is disclosed. First, it is determined that a vehicle has approached the destination location. In response, it is determined that that the destination location is associated with automated parking services. In response, a first activation signal is forwarded to an indicator. Next, it is determined that the vehicle is within the destination location at a first time. In response, it is determined that an account associated with the vehicle is configured to make payment for parking of the vehicle within the destination location. Then, payment for the parking of the vehicle within the destination location is activated. Finally, in response, a second activation signal that differs from the first activation signal is forwarded to the indicator.

Abstract: Tracking traffic violations within an intersection and use of a destination location are disclosed. Initially, two or more first images from a first camera having a first field of view are received. Next, a first unique identifier of a first vehicle and a violated traffic restriction within the intersection are determined based on the two or more first images. Next, two or more second images from a second camera having a second field of view are received. A second unique identifier and a first characteristic of a second vehicle are determined based on the two or more second images. Next, two or more third images from a third camera having a third field of view are received. That the second vehicle is stopped in a destination location at a first time and that the second vehicle has left the destination location at a second time are determined based on the two or more third images.