Abstract: A method includes performing at least the following operations by one or more processors: receiving a request initiated by a device of a first user for a first service to be provisioned by a first entity, deriving a first user preference data based, at least in part, on a historical interaction information of the first user with a second entity provisioning a second service, and responsive to receiving the request, provisioning an instantiation of the first service, by the first entity, in a manner that is based, at least in part, on the first user preference data.

Abstract: Disclosed embodiments provide techniques for estimating crowd flow rate. Video frames are obtained from a crowd scene. Groups of consecutive video frames form a time window. Crowd flow rate through the field of view of the camera is analyzed by estimating a total number of people contained within at least one frame of a time window. A subset of the people within the frame are identified as a group of tracker candidates. The tracker candidates are monitored throughout the time window, and the time when the tracker candidates exit the field of view of the camera is used to estimate a crowd flow rate for the number of people passing through the field of view of the camera in a given time interval. Thus, disclosed embodiments can improve the technical field of crowd flow rate estimation.

Abstract: A method includes performing at least the following operations by one or more processors: receiving a request initiated by a device of a first user for a first service to be provisioned by a first entity, deriving a first user preference data based, at least in part, on a historical interaction information of the first user with a second entity provisioning a second service, and responsive to receiving the request, provisioning an instantiation of the first service, by the first entity, in a manner that is based, at least in part, on the first user preference data.

Abstract: Disclosed embodiments provide techniques for estimating crowd flow rate. Video frames are obtained from a crowd scene. Groups of consecutive video frames form a time window. Crowd flow rate through the field of view of the camera is analyzed by estimating a total number of people contained within at least one frame of a time window. A subset of the people within the frame are identified as a group of tracker candidates. The tracker candidates are monitored throughout the time window, and the time when the tracker candidates exit the field of view of the camera is used to estimate a crowd flow rate for the number of people passing through the field of view of the camera in a given time interval. Thus, disclosed embodiments can improve the technical field of crowd flow rate estimation.