This inventor holds 2 USPTO granted patents. Top assignees: Stochastech Corporation, Other. Active years: 2010.
Company Filing History:
Years Active: 2010
Title: Innovations of Ben G Fitzpatrick
Introduction
Ben G Fitzpatrick is an accomplished inventor based in Marina Del Rey, CA (US). He has made significant contributions to the field of image processing and object tracking, holding a total of 2 patents. His work focuses on improving methodologies that enhance the accuracy of tracking systems, particularly in challenging environments.
Latest Patents
Fitzpatrick's latest patents include "Tracking apparatus and methods using image processing noise reduction" and "Bayesian methods for noise reduction in image processing." The first patent describes an improved apparatus and methodology for image processing and object tracking that reduces noise. This methodology is particularly effective for moving targets, such as missiles in flight. It involves processing sequences of images corrupted by various noise sources, normalizing and segmenting the images, and calculating posterior probability images to accurately extract target positions.
The second patent outlines a similar approach, applying Bayesian methods to enhance the accuracy of image processing. By utilizing likelihood constructs, Fitzpatrick's methodology generates posterior images that improve the representation and location of targets in each image. This innovative approach significantly reduces noise and enhances tracking accuracy.
Career Highlights
Throughout his career, Fitzpatrick has worked with notable companies, including Stochastech Corporation. His expertise in image processing has positioned him as a key figure in the development of advanced tracking systems.
Collaborations
Fitzpatrick has collaborated with esteemed colleagues such as Yun Wang and Allen Robert Tannenbaum. Their combined efforts have contributed to the advancement of methodologies in image processing and object tracking.
Conclusion
Ben G Fitzpatrick's innovative work in image processing and object tracking has led to significant advancements in the field. His patents reflect a commitment to enhancing accuracy and reducing noise in challenging environments. His contributions continue to influence the development of tracking technologies.