Disney Enterprises, Inc.

Eric Foote

Iain Matthews

Yaser Sheikh

Patrick Joseph Lucey

G Peter K Carr

George Peter Carr

Alina Bialkowski

G Peter Carr

Techniques are described to characterize motion patterns of a group of agents engaging in an activity. An analysis system receives input data associated with spatial and temporal information of at least one element of interest associated with the activity, where the object of interest may be a ball, person, animal or any other object in motion. The analysis system partitions the input data into a plurality of spatiotemporal segments and generates one or more representations of one or more sets of segments of the plurality of spatiotemporal segments based on one or more criteria. The analysis system computes a metric, such as an entropy value, for each of the one or more representations. Partial tracing data, such as ball movements in a sporting event, may be created using an inexpensive input device, such as a tablet computer, making the disclosed techniques available for a wide range of events and activities.

Characterizing motion patterns of one or more agents from spatiotemporal data

To generate a media presentation of a live event, a user interface is coupled to at least three cameras that share substantially the same vantage point. One of the cameras (e.g., a context camera) provides a context view of the event that is displayed on a screen of the user interface. The views of the other two cameras are superimposed onto the context view to define sub-portions that are visually demarcated within the context view. Based on user interaction, the user interface can switch between the cameras views and control the cameras to capture different portions of the context view. Based the image data captured by the views of the cameras within the context view, the user interface generates a media presentation that may be broadcast to multiple viewers.

Camera selection interface for producing a media presentation

A relative pose between two cameras is determined by using input data obtained from the motion of subjects, such as pedestrians, between the fields of view of two cameras, determining trajectory information for the subjects, and computing homographies relating lines obtained from trajectories in the first image data to lines obtained from the trajectories in the second image data. The two fields of view need not overlap.

Relative pose estimation of non-overlapping cameras using the motion of subjects in the camera fields of view

Growing community of inventors

Swissvale, PA, United States of America

Eric Foote