Disney Enterprises, Inc.

Peter Walsh

Jayadas Devassy

Anthony J Bailey

David L Casamona

Kenneth Demers

Jeffrey W Weisenburger

A system and method for model-based camera tracking and image occlusion removal for a camera viewing a sports field (or other scene) includes receiving a synthesized data set comprising at least one empty field image of the field, the empty field image with at least one occlusion graphic, and camera parameters corresponding to the empty field image, training a neural network model to estimate the empty field image and the corresponding camera parameters by providing the model with an input training image comprising the empty field image with occlusion graphic, and providing the model with model output targets comprising the empty field image and the corresponding camera parameters as targets for the model, receiving by the neural network model, alive input image comprising a view of the field with live occlusions, and providing by the neural network model, using trained model parameters, estimated live camera parameters or an estimated empty field image associated with the live input image.

System and method for robust model-based camera tracking and image occlusion removal

A system and method for providing multi-camera 3D body part labeling and performance metrics includes receiving 2D image data and 3D depth data from a plurality image capture units (ICUs) each indicative of a scene viewed by the ICUs, the scene having at least one person, each ICU viewing the person from a different viewing position, determining 3D location data and visibility confidence level for the body parts from each ICU, using the 2D image data and the 3D depth data from each ICU, transforming the 3D location data for the body parts from each ICU to a common reference frame for body parts having at least a predetermined visibility confidence level, averaging the transformed, visible 3D body part locations from each ICU, and determining a performance metric of at least one of the body parts using the averaged 3D body part locations. The person may be a player in a sports scene.

System and method for providing multi-camera 3D body part labeling and performance metrics

Systems and methods for the insertion of graphics into stereoscopic live action 3D video using image models taking into account positional data from the stereoscopic camera rig.

3D graphic insertion for live action stereoscopic video

Sports objects, such as players and their equipment, are tracked by receiving signals transmitted by tags attached to the sports objects, and triangulating the signals to estimate the locations of the sports objects. One feature that promotes good signal reception is the use of different groups of three or more receivers. Another such feature is the use of two or more transmitter tags attached to different portions of the sports object. Still another such feature is the use of Ultra-Wideband signals.

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Bristol, CT, United States of America

Peter Walsh