Vulcan Inc.

Samuel Allan McKennoch

Cecil Lee Quartey

Keith David Rosema

Richard Earl Simpkinson

Alan Caplan

Michael Persiantsev

Jeremy Kyle Bensley

Istvan Fulop

Tariq Osman Omar

Paul Benjamin Albee

A kinematic analysis system captures and records participant motion via a plurality of video cameras. A participant feature and participant pose are identified in a frame of video data. The feature and pose are correlated across a plurality of frames. A three-dimensional path of the participant is determined based on correlating the feature and pose across the plurality of frames. A potential impact is identified based on analysis of the participant's path.

Impact detection

A first plurality of images obtained via an image capture device is obtained. A first set of pixels in a first image of the first plurality of images identify is identified based on specified criteria. A first set of coordinates associated with the first set of pixels is determined. A second set of coordinates is generated based on the first set of coordinates. A second set of pixels in a second image of the first plurality of images is identified, based on the specified criteria and a proximity to the second set of coordinates. A first trajectory between the first set of pixels and the second set of pixels is generated. The first trajectory is determined to correspond to a second trajectory associated with a second plurality of images obtained via a second image capture device, and the first trajectory and the second trajectory are outputted.

Multi-camera homogeneous object trajectory alignment

A first image is aligned with a second image. A first motion value is computed based at least in part on a sum of differences between corresponding pixels in the first image and the second image. A second motion value is computed further based at least in part on a third image. An impact score is generated based at least in part on a difference between values derived from the first motion value and the second motion value and an action is performed depending at least in part on whether the impact score indicates that damage has occurred among objects represented in the first image and the second image.

High-precision detection of homogeneous object activity in a sequence of images

A first digital representation in an image and a second digital representation in a second image is identified based at least in part on specified criteria. A first epipolar line in the second image is determined based at least in part on a position of the first digital representation in the image. A second epipolar line is determined based at least in part on a position of the second digital representation in the second image. At least one cost value is determined based at least in part on the first digital representation, the second digital representation, the first epipolar line, and the second epipolar line. The first digital representation and the second digital representation are determined, based at least in part on the at least one cost value, to represent a same object. The first digital representation is associated in a data store with the second digital representation.

Growing community of inventors

Seattle, WA, United States of America

Samuel Allan McKennoch