# US 2021/0279451 A1 · Tracking the Use of at Least One Destination Location > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0279451 A1 - Document ID: US20210279451A1 - Status: Published application - Kind: A1 - Application number: 17/147,016 - Filed: 2021-01-12 - Published: 2021-09-09 - Earliest claimed: 2012-08-06 - Assignees: Cloudparc, Inc. - Applicants: Cloudparc, Inc. - Inventors: Steven David Nerayoff; Thompson S. Wong - Web page: https://patentgrep.com/patent/US20210279451A1 ## CPC - G08G 1/0175: {by photographing vehicles, e.g. when violating traffic rules} - G06F 18/22: Matching criteria, e.g. proximity measures - G06Q 20/02: involving a neutral party, e.g. certification authority, notary or trusted third party [TTP] - G06Q 20/145: {Payments according to the detected use or quantity} - G06Q 30/0284: {Time or distance, e.g. usage of parking meters or taximeters} - G06Q 30/04: Billing or invoicing - G06Q 50/265: {Personal security, identity or safety} - G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083) - G06T 7/20: Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51) - G06T 7/292: Multi-camera tracking - G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80) - G06T 7/73: using feature-based methods - G06T 7/90: Determination of colour characteristics - G06V 20/52: Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) - G06V 20/54: of traffic, e.g. cars on the road, trains or boats - G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle - G06V 20/593: {Recognising seat occupancy} - G06V 20/62: Text, e.g. of license plates, overlay texts or captions on TV images - G06V 30/224: of printed characters having additional code marks or containing code marks - G06V 40/23: {Recognition of whole body movements, e.g. for sport training} - G07B 15/00: Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points (handling coins or valuable papers, e.g. banknotes, G07D; apparatus for vending or hiring articles or services activated by coins, credit cards, paper currency or the like G07F7/00, G07F17/00) - G07B 15/02: taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems (G07B15/06 takes precedence; taximeters G07B13/00; parking meters per se G07F17/24) - G08G 1/00: Traffic control systems for road vehicles (arrangement of road signs or traffic signals E01F9/00 {; automatic vehicle control B62D}) - G08G 1/017: identifying vehicles (G08G1/015, G08G1/054 take precedence) - G08G 1/052: with provision for determining speed or overspeed {(speed measuring in general G01P)} - G08G 1/056: with provision for distinguishing direction of travel - G08G 1/133: within the vehicle {; Indicators inside the vehicles or at stops} - G08G 1/14: indicating individual free spaces in parking areas - G08G 1/142: {external to the vehicles} - G08G 1/144: {on portable or mobile units, e.g. personal digital assistant [PDA]} - G08G 1/148: {Management of a network of parking areas} - H04N 7/181: {for receiving images from a plurality of remote sources} - H04N 23/62: Control of parameters via user interfaces - H04N 23/66: Remote control of cameras or camera parts, e.g. by remote control devices - H04N 23/90: Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums - G06T 2207/10004: Still image; Photographic image - G06T 2207/30236: Traffic on road, railway or crossing - G06T 2207/30264: Parking - G06V 20/625: {License plates} - G07F 17/24: for parking meters - G08G 1/143: {inside the vehicles} - G08G 1/146: {where the parking area is a limited parking space, e.g. parking garage, restricted space} - H04N 7/18: Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast - H04N 23/69: Control of means for changing angle of the field of view, e.g. optical zoom objectives or electronic zooming - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G07B: TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - G07F: COIN-FREED OR LIKE APPARATUS (coin sorting G07D3/00; coin testing G07D5/00; {handling coins or paper currencies apart from payment activated apparatus G07D; payment architectures, schemes or protocols G06Q20/00}) ## 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. ## Claims ### Claim 1 (canceled) ### Claim 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. ### Claim 3 (depends on 2) 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. ### Claim 4 (depends on 3) 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. ### Claim 5 (depends on 4) The method of claim 4, wherein the second camera is included in an unmanned air vehicle that is configured to be autonomously operated. ### Claim 6 (depends on 3) The method of claim 3, further comprising determining a unique identifier of the first object. ### Claim 7 (depends on 6) 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. ### Claim 8 (depends on 6) The method of claim 6, wherein determining the unique identifier of the first object comprises receiving the unique identifier of the first object. ### Claim 9 (depends on 6) 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. ### Claim 10 (depends on 2) 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. ### Claim 11 (depends on 2) 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. ### Claim 12 (depends on 2) 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. ### Claim 13 (depends on 2) The method of claim 2, wherein the first object is a first pedestrian, a first wheeled transportation apparatus, or a first vehicle. ### Claim 14 (depends on 2) 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. ### Claim 15 (depends on 2) 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. ### Claim 16 (depends on 15) 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. ### Claim 17 (depends on 15) 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. ### Claim 18 (depends on 2) The method of claim 2, further comprising providing real-time tracking of the first object to a law enforcement or security system. ### Claim 19 (depends on 18) 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. ### Claim 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. ### Claim 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.