Sony Europe B.V.

A data processing apparatus includes circuitry that receives a sequence of data elements that indicate position of objects in a sports event at successive time steps; perform a prediction process using the data elements to predict a first predicted data element indicating predicted position of the objects at a first future time step; determine whether a break in the sports event is predicted to occur; if a break is not predicted to occur, continue performing the prediction process to predict a second predicted data element indicating predicted position of the objects at a second future time step; and if a break is predicted to occur: end the prediction process; use the first predicted data element to predict a third predicted data element indicating predicted position of the objects at a point at which the sports event is continued; and restart the prediction process using the third predicted data element.

A device for detecting a goaltending event includes circuitry configured to: determine a real-life position of a basketball from a video stream; detect an impact on the basketball from the movement of the basketball captured in the video stream; output a signal indicating a detected goaltending event based on the detected impact and the real-life position of the basketball.

A method of detecting the real-world position of an object in a real-world scene includes obtaining, from a plurality of cameras each having a different field of view of the object, a plurality of images of the object in the real-world scene over a first time window, each of the plurality of images being provided by a different one of the cameras; determining the position of the object in each image captured by each of the plurality of cameras over the first time window; building a 3D model of the continuous real-world position of the object in the real-world scene over the first time window based upon the determined position in each image captured by the plurality of cameras; and establishing, from the 3D model, the 3D position of the object at a particular time in the real-world scene.

A data processing apparatus includes circuitry configured to: receive an image of a sports player during a sports event occurring in a sports environment; determine, using the image, a pose of a foot of the sports player in a spatial model representing the sports environment; fit a shoe model to the pose of the foot of the sports player in the spatial model; determine if the shoe model in the spatial model violates a rule of the sports event indicating a region of the sports environment within which a shoe worn by the foot of the sports player can be legally positioned; and generate an output indicating if the shoe model has violated the rule.

A method comprising the steps of: receiving an image from a dynamic vision sensor and an image from an image sensor, wherein the dynamic vision sensor and the image sensor capture at least an overlapping field of view; determining, from the image received from the dynamic vision sensor, an area of movement in the field of view of the image from the image sensor; applying a higher level of image compression to the areas of no movement compared with the area of movement in the image from the image sensor to produce a processed image; and outputting the processed image to a neural network.

A method comprising: locating an Unmanned Aerial Vehicle (UAV) which is in breach of a predetermined rule; communicating an indication of the breach to the UAV; monitoring the movement of the UAV following the communication of the breach; and in the event of the movement being below a threshold amount after a predetermined time, the method comprises: notifying another device of the movement being below the threshold amount.

A method comprising the steps of: receiving an image from a dynamic vision sensor and an image from an image sensor, wherein the dynamic vision sensor and the image sensor capture at least an overlapping field of view; determining, from the image received from the dynamic vision sensor, an area of movement in the field of view of the image from the image sensor; applying a higher level of image compression to the areas of no movement compared with the area of movement in the image from the image sensor to produce a processed image; and outputting the processed image to a neural network.

A method, computer program and device is described that obtains a first image of a sporting event, the first image containing a sporting projectile at a first pixel position and a first and second line separated by a predetermined real-world distance in a direction; establishes the number of pixels between the first and second line in the direction; establishes a real-world distance represented by a pixel in the direction; establishes the number of pixels between the first pixel position and the first line in the direction; and determines the real-world position of the sporting projectile in the sporting event in accordance with the established real-world distance and the number of pixels between the first pixel position and the first line.

Various examples of the disclosure pertain to be management at a coverage enhancing device. A location of a wireless communication device can be detected based on a beacon signal that is emitted by a beacon of the wireless communication device and an appropriate spatial filter can be selected at the coverage enhancing device. Prioritization between different wireless communication devices is possible.

A terminal device comprising: transceiver circuitry configured to communicate with infrastructure equipment; and processing circuitry configured to control the transceiver circuitry to: receive, from the infrastructure equipment, a media content stream via a media interface; and receive a remote control instruction via the media interface.