Colorado State University Research Foundation

Bruce Anthony Draper

Michael Joseph Kirby

Holger Philipp Kley

Christopher Scott Peterson

J Ross Beveridge

Jen-Mei Chang

David S Bolme

James Ross Beveridge

A system and method for generating and using a correlation filter. The method includes providing a plurality of training images, each training image being paired with an associated target correlation plane. Each training image and target correlation plane pair is processed. A final filter is generated, wherein the final filter is useable to generate a filtered output correlation plane of each training image. The final filter is selected to collectively minimize errors between the filtered output correlation plane of each training image and its associated target correlation plane. The final filter can be used in a wide variety of still image and video based object location and tracking applications.

Optimized correlation filters for signal processing

A pattern recognition system compares a set of unlabeled images (or other patterns) having a variation of state in a set-by-set comparison with individual data sets of multiple labeled images (or other patterns) also having a variation of state. The individual data sets are each mapped to a point on a parameter space (e.g., a Grassmannian manifold, a Stiefel manifold, a flag manifold, etc.), and the set of unlabeled images is mapped to a point in the same parameter space. If the point associated with the set of unlabeled images satisfies a distance criterion on the parameter space with regard to one of the points on the parameter space, the data set of unlabeled images is assigned to the class attributed to that point.

Unknown pattern set recognition

Growing community of inventors

Fort Collins, CO, United States of America

Bruce Anthony Draper