Abstract: A data processing apparatus comprises receiving circuitry to receive tracking data indicative of at least one of a tracked position and orientation of a head-mountable display (HMD), image processing circuitry to generate a sequence of images frames for display in dependence upon the tracking data, detection circuitry to detect an image feature in a first image frame and to detect a corresponding image feature in a second image frame, and correlation circuitry to: calculate a difference between the image feature in the first image frame and the corresponding image feature in the second image frame; generate difference data indicative of a difference between a viewpoint for the first image frame and a viewpoint for the second image frame in dependence upon the difference between the image feature in the first image frame and the corresponding image feature in the second image frame; and generate output data in dependence upon a difference between the difference data and the tracking data associated with the fi

Abstract: An interference matrix for LTE and NR based on user equipment measurement data reports for PCI clash and neighbor addition and deletion algorithms. In an embodiment, a method for identifying interferences in a telecommunications network having at least one serving cell and at least one reported cell includes retrieving data sources including one or more of (a) call trace data from the telecommunications network and (b) device metrics from multiple user equipment (UEs) connected to a telecommunications network; processing the data sources to form an interference matrix with structured data that is vendor and device agnostic by (a) parsing and correlating the call trace data to provide the structured data and (b) processing the device metrics from multiple UEs and geo-binning them based on location; analyzing the structured data in the interference matrix to determine interferences between cells; and displaying information about the determined interferences.

Abstract: Systems, methods and apparatuses for rehabilitation and/or training of a subject. Rehabilitation may be performed after neurological damage has occurred, including without limitation acute or chronic damage. Training as referred to herein relates to any process performed in order to improve the physical and/or cognitive function of a subject.

Abstract: A method includes reading signaling messages as they arrive in a Radio Access Network (RAN) parser; for each signaling message, assigning the signaling message to a procedure, decoding the signaling message to obtain information required to generate a Call Data Record (CDR), and obtaining information on status of the procedure associated with the signaling message; and based on the status of the procedure, one of (1) waiting on more signaling messages for the procedure and (2) determining the procedure has ended and generating the CDR based on the associated signaling messages.

Abstract: A mapping and localisation apparatus includes: a communication processor configured to receive data relating to one or more first images of an environment captured by one or more first cameras of a first mobile electronic device; and receive data relating to one or more second images of the environment captured by one or more second cameras of one or more second mobile electronic devices; a mapping processor configured to process the data relating to the one or more first images to generate a three dimensional map of the environment; and a position processor configured to determine a position of the or each second mobile electronic device at least in part based on the generated map and the received data relating to the one or more second images.

Abstract: Methods and apparatus provide for capturing with a camera a wide field of view image having a field of view that is wider than a field of view subsequently displayed to the recipient, capturing at least orientation information of the camera as extrinsic camera parameters, and streaming successive images along with corresponding extrinsic camera parameters. Alternative provisions include receiving a stream comprising successive wide field of view images captured by a camera, and at least corresponding orientation information of the camera, receiving indications of at least an orientation of a head mounted display ‘HMD’ having a field of view smaller than the wide field of view images, aligning a respective predetermined main area of interest in the received images with a viewpoint corresponding at least to a predetermined orientation of the HMD, and displaying the result on the HMD, based on at least the received orientation information of the camera and the indicated orientation of the HMD.

Abstract: A system, method and apparatus for stereo vision and tracking with a plurality of coupled cameras and optional sensors.

Abstract: A system configured to track the location of one or more peripherals operated by a user, the system comprising a tracking unit configured to determine a location of the one or more peripherals in dependence upon images captured by a camera associated with an HMD worn by the user, a generation unit configured to generate, in response to a determination by the tracking unit that one or more of the peripherals is not visible in the images, an array of home points behind the user, the home points being locations defined in dependence upon constraints upon the user's motion, an estimation unit configured to estimate the respective locations of non-visible peripherals in dependence upon the output of one or more inertial measurement units associated with each peripheral, and a selection unit configured to select a home point, from amongst the array of home points, for each of the non-visible peripherals, wherein the tracking unit is configured to generate a location for each non-visible peripheral such that the loc

Abstract: A method includes accessing files that are Call Trace logs and that are from a plurality of vendors and that operate in a mobile network; downloading the files that are within an appropriate date range, that are complete, and that have not been already downloaded; based on a corresponding vendor for a file of the files, converting the file to a streaming output; and sending the streaming output to a Trace Receiver service in a Radio Access Network (RAN) Parser that is configured to process streaming Call Trace messages.

Abstract: A method includes receiving data from one or more of (i) a data stream from one or more sources and (ii) a file, wherein the one or more sources are from systems associated with a mobile network; analyzing and summarizing relevant information from the data stream, wherein the relevant information includes data associated with user identities; transforming the relevant information included into a common output format, wherein the common output format is a same format for one or more vendor's equipment and one or more wireless technologies; and storing the relevant information in in-memory storage.

Abstract: A method includes receiving a data stream from a mobile network having one or more vendor's equipment and one or more wireless technologies; decoding a message from the data stream based on what port the message was received on, wherein the port is used to automatically detect how the decoding performs based on one or more of vendor's equipment and wireless technology; converting the message to a common output format based on the decoding, wherein the common output format is a same format for the one or more vendor's equipment and the one or more wireless technologies; and providing the message in the common output format for subsequent processing.

Abstract: A method includes accessing messages stored in a publishing system, wherein the messages are derived from Call Trace messages and are stored in a vendor and technology agnostic manner; starting a cell fragment based on a starting type message for a call; linking associated messages for the call to the cell fragment; ending the cell fragment based on an ending type message for the call; and utilizing the cell fragment for creating a Call Data Record (CDR) of the call.

Abstract: Systems, methods and apparatuses for rehabilitation and/or training of a subject. Rehabilitation may be performed after neurological damage has occurred, including without limitation acute or chronic damage. Training as referred to herein relates to any process performed in order to improve the physical and/or cognitive function of a subject.

Abstract: A data processing apparatus comprises receiving circuitry to receive tracking data indicative of at least one of a tracked position and orientation of a head-mountable display (HMD), image processing circuitry to generate a sequence of images frames for display in dependence upon the tracking data, detection circuitry to detect an image feature in a first image frame and to detect a corresponding image feature in a second image frame, and correlation circuitry to: calculate a difference between the image feature in the first image frame and the corresponding image feature in the second image frame; generate difference data indicative of a difference between a viewpoint for the first image frame and a viewpoint for the second image frame in dependence upon the difference between the image feature in the first image frame and the corresponding image feature in the second image frame; and generate output data in dependence upon a difference between the difference data and the tracking data associated with the fi

Abstract: A system configured to track the location of one or more peripherals operated by a user, the system comprising a tracking unit configured to determine a location of the one or more peripherals in dependence upon images captured by a camera associated with an HMD worn by the user, a generation unit configured to generate, in response to a determination by the tracking unit that one or more of the peripherals is not visible in the images, an array of home points behind the user, the home points being locations defined in dependence upon constraints upon the user's motion, an estimation unit configured to estimate the respective locations of non-visible peripherals in dependence upon the output of one or more inertial measurement units associated with each peripheral, and a selection unit configured to select a home point, from amongst the array of home points, for each of the non-visible peripherals, wherein the tracking unit is configured to generate a location for each non-visible peripheral such that the loc

Abstract: A method of point tracking comprises the steps of receiving successive input image frames from a sequence of input image frames comprising an object to track; for each input frame, detecting a plurality of feature points; mapping a 3D morphable model to the plurality of feature points; performing optical flow tracking of flow points between successive input frames; and correcting optical flow tracking for at least a first flow point position responsive to the mapped 3D morphable model.

Abstract: Systems, methods and apparatuses for tracking at least a portion of a body by fitting data points received from a depth sensor and/or other sensors and/or “markers” as described herein to a body model. For example, in some embodiments, certain of such data points are identified as “super points,” and apportioned greater weight as compared to other points. Such super points can be obtained from objects attached to the body, including, but not limited to, active markers that provide a detectable signal, or a passive object, including, without limitation, headgear or a mask (for example for VR (virtual reality)), or a smart watch. Such super points may also be obtained from specific data points that are matched to the model, such as data points that are matched to vertices that correspond to joints in the model.

Abstract: A system, method and apparatus for stereo vision and tracking with a plurality of coupled cameras and optional sensors.

Abstract: A new and distinct variety of almond tree that exhibits self-compatibility, high fruit quality, and late flowering.

Abstract: A new and distinct Prunus rootstock named ‘Pilowred’ is disclosed, characterized by early bearing and early fruiting as well as root-knot nematode (RKN) resistance. The new rootstock imparts low vigor. Foliage is colored intermediate red. The new variety is a Prunus amygdalus x persica, for use as a commercial rootstock.