Quintar, Inc.

Sportvision, Inc.

Fox Sports Productions, LLC

Sportsvision, Inc.

Timothy P Heidmann

Sankar Jayaram

John R Harrison

Wayne O Cochran

John Buddy Scott

Richard H Cavallaro

Vidya Elangovan

Stanley K Honey

Patrick Wade Olsen

Marlena Fecho

Kenneth Alan Milnes

James R Gloudemans

Alan C Phillips

Alan Alexander Burns

Fred Judson Heinzmann

Jerry Neil Gepner

David Blyth Hill

Philip C Evans

Charles Lawrence Rino

Harold Guthart

Andrew G Setos

Thomas Sahara

Marvin S White

James Orville McGuffin

Terence J O'Brien

Alina Alt

Reuben Halper

Durga Raj Mathur

Richard St Clair Bailey

Augmented reality systems provide graphics over views from a mobile device for both in-venue and remote viewing of a sporting or other event. A server system can provide a transformation between the coordinate system of a mobile device (smart phone, tablet computer, head mounted display) and a real world coordinate system. Requested graphics for the event are displayed over a view of an event.

Augmented reality system for viewing an event with multiple coordinate systems and automatically generated model

Augmented reality systems provide graphics over views from a mobile device for both in-venue and remote viewing of a sporting or other event. A server system can provide a transformation between the coordinate system of a mobile device (mobile phone, tablet computer, head mounted display) and a real world coordinate system. Requested graphics for the event are displayed over a view of an event. In a tabletop presentation, video of the event can be displayed with augmented reality graphics overlays at a remote location.

Augmented reality system for remote presentation for viewing an event

Registration for augmented reality system for viewing an event

Use of multiple registrations for augmented reality system for viewing an event

Augmented reality system with remote presentation including 3D graphics extending beyond frame

Augmented reality system for viewing an event with distributed computing

Augmented reality system for viewing an event with mode based on crowd sourced images

Video frames of a baseball game are analyzed to determine a track for the participants in the game, e.g., players, coaches and umpires, and to update a digital record of the game. The start and/or end of a half-inning can be indicated by factors such as: the participants leaving the dugout region and entering the playing field, including the outfield, a participant leaving the dugout region and entering the region of a base coach's box, a pitcher throwing pitches when no batter is present, and players on the playing field throwing the ball back and forth to one another. In one approach, the combination of detecting an event which is known to occur most often or always between half-innings followed by detecting another event which is known to occur most often or always during a half-inning, can be used to signal that a half-inning has started.

Video tracking of baseball players to determine the end of a half-inning

Video frames of a baseball game are analyzed to determine a track for the participants in the game and to update a digital record of the game. The merging of participants in a video frame is resolved by associating the participants' tracks before and/or after the merging with a most likely participant role, such as a player, coach or umpire role. The role of one merged participant can be used to deduce the role of the other merged participant. In this way, the digital record can be completed even for the merged period. The role of a participant can be based, e.g., on the location of the participant relative to a base, a coach's box region, a pitcher's mound, a dugout, or a fielding position, or by determining that a participant is running along a path to a base or performing some other movement.

Video tracking of baseball players which identifies merged participants based on participant roles

Video tracking of baseball players to determine the start and end of a half-inning

A video broadcast of a live event is enhanced by providing graphics in the video in real time to depict the fluid flow around a moving object in the event and to provide other informative graphics regarding aerodynamic forces on the object. A detailed flow field around the object is calculated before the event, on an offline basis, for different speeds of the object and different locations of other nearby objects. The fluid flow data is represented by baseline data and modification factors or adjustments which are based on the speed of the object and the locations of the other objects. During the event, the modification factors are applied to the baseline data to determine fluid flow in real time, as the event is captured on video. In an example implementation, the objects are race cars which transmit their location and/or speed to a processing facility which provides the video.

Providing graphics in images depicting aerodynamic flows and forces

An object is detected in images of a live event by storing and indexing templates based on representations of the object from previous images. For example, the object may be a vehicle which repeatedly traverses a course. A first set of images of the live event is captured when the object is at different locations in the live event. A representation of the object in each image is obtained, such as by image recognition techniques, and a corresponding template is stored. When the object again traverses the course, for each location, the stored template which is indexed to the location can be retrieved for use in detecting the object in a current image. The object's current location may be obtained from GPS data from the object, for instance, or from camera sensor data, e.g., pan, tilt and zoom, which indicates a direction in which the camera is pointed.

Detecting an object in an image using templates indexed to location or camera sensors

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Los Altos, CA, United States of America

Timothy P Heidmann