发明名称 Controlling use of parking spaces and restricted locations using multiple cameras
摘要 An apparatus for tracking the use of at least one destination location, the apparatus including multiple cameras and one or more processors configured to identify a vehicle by use of identification images captured by an identification camera, such as by processing of images of license plates, determine characteristics of the vehicle visible in the identification images, and determine usage of a destination location, such as a parking spot, based on a camera monitoring the destination location capturing images of the vehicle having characteristics corresponding to those determined for the identification images.
申请公布号 US8836788(B2) 申请公布日期 2014.09.16
申请号 US201213686831 申请日期 2012.11.27
申请人 Cloudparc, Inc. 发明人 Nerayoff Steven David;Wong Thompson S.
分类号 H04N7/18;G07B15/00;G06K9/00;G08G1/00;G06Q50/30;G06T7/00;G06Q20/14;G08G1/14;G06Q30/04;G07B15/02 主分类号 H04N7/18
代理机构 Baker Hostetler LLP 代理人 Baker Hostetler LLP
主权项 1. A method of tracking the use of at least one destination location and at least one restricted location, the method comprising: receiving a plurality of vehicle images captured by a plurality of cameras, wherein: the plurality of cameras includes a first identification camera having a first field of view,the plurality of cameras includes a first destination camera having a second field of view, the second field of viewing being different from the first field of view and partially overlapping with the first field of view,the plurality of cameras includes a second destination camera having a third field of view, the second destination camera being different from the first destination camera, the third field of viewing being different from the first and second fields of view, and the third field of view including at least one destination location and at least one restricted location; andthe plurality of vehicle images include: a first identification image captured by the first identification camera at a first time showing a first vehicle at a first location,a first destination image captured by the first destination camera at a second time showing the first vehicle at a second location, the second time being after the first time, the second location being different from the first location,a second destination image captured by the second destination camera at a third time showing the first vehicle at a third location, the third time being after the second time, and the third location being outside the at least one destination location,a third destination image captured by the second destination camera at a fourth time showing the first vehicle at a fourth location, the fourth time being after the third time, and the fourth location being within the at least one destination location,a fourth destination image captured by the second destination camera at a fifth time showing the first vehicle at a fifth location, the fifth time being after the fourth time, the fifth location being outside of the at least one destination location, and the fifth location different from the third location,a second identification image captured by the first identification camera at a sixth time showing a second vehicle at a sixth location,a fifth destination image captured by the second destination camera at a seventh time showing the second vehicle at a seventh location, the seventh time being after the sixth time, and the seventh location being outside of the at least one restricted location, anda sixth destination image captured by the second destination camera at an eighth time showing the second vehicle at an eighth location, the eighth time being after the seventh time, and the eighth location being within the at least one restricted location; determining a first unique identifier, a first static characteristic, and a first dynamic characteristic of the first vehicle based on the first identification image, wherein: the first static characteristic is one or more of a vehicle make, a vehicle model, a vehicle year, a vehicle color, a vehicle outline, a vehicle size, and a vehicle dimension, andthe first dynamic characteristic is one or more of a vehicle speed of travel, a lane identifier, and a vehicle direction of travel; determining a second static characteristic and a second dynamic characteristic of the first vehicle based on the first destination image, wherein: the second static characteristic is one or more of a vehicle make, a vehicle model, a vehicle year, a vehicle color, a vehicle outline, a vehicle size, and a vehicle dimension, andthe second dynamic characteristic is one or more of a vehicle speed of travel, a lane identifier, and a vehicle direction of travel; determining that the first vehicle is present in the second field of view in response to a match between the second static characteristic and the first static characteristic and between the second dynamic characteristic and the first dynamic characteristic; determining a third static characteristic and a third dynamic characteristic of the first vehicle based on the second destination image, wherein: the third static characteristic is one or more of a vehicle make, a vehicle model, a vehicle year, a vehicle color, a vehicle outline, a vehicle size, and a vehicle dimension, andthe third dynamic characteristic is one or more of a vehicle speed of travel, a lane identifier, and a vehicle direction of travel; determining that the first vehicle is present in the third field of view in response to a match between the third static characteristic and the second static characteristic and between the third dynamic characteristic and the second dynamic characteristic; determining that the first vehicle is occupying the at least one destination location based on the third destination image; determining that the first vehicle has left the at least one destination location based on the fourth destination image; indicating that the first vehicle began use of the at least one destination location at the fourth time; indicating that the first vehicle completed use of the at least one destination location at the fifth time; indicating the first unique identifier of the first vehicle; determining a second unique identifier, a fourth static characteristic, and a fourth dynamic characteristic of the second vehicle based on the second identification image, wherein: the fourth static characteristic is one or more of a vehicle make, a vehicle model, a vehicle year, a vehicle color, a vehicle outline, a vehicle size, and a vehicle dimension, andthe fourth dynamic characteristic is one or more of a vehicle speed of travel, a lane identifier, and a vehicle direction of travel; determining a fifth static characteristic and a fifth dynamic characteristic of the second vehicle based on the fifth destination image, wherein: the fifth static characteristic is one or more of a vehicle make, a vehicle model, a vehicle year, a vehicle color, a vehicle outline, a vehicle size, and a vehicle dimension, andthe fifth dynamic characteristic is one or more of a vehicle speed of travel, a lane identifier, and a vehicle direction of travel; determining that the second vehicle is present in the third field of view in response to a match between the fifth static characteristic and the fourth static characteristic and between the fifth dynamic characteristic and the fourth dynamic characteristic; determining that the second vehicle is stopped in the at least one restricted location based on the sixth destination image; indicating the second unique identifier of the second vehicle; and indicating a fine associated with the at least one restricted location.
地址 Great Neck NY US