Samuel Nathan Hallman

Title: Innovations of Samuel Nathan Hallman

Introduction

Samuel Nathan Hallman is an accomplished inventor based in Seattle, WA (US). He holds a total of 4 patents and has made significant contributions to the field of imaging technology. His work primarily focuses on detecting and locating actors in scenes using advanced imaging techniques.

Latest Patents

One of Hallman's latest patents involves a method for detecting and locating actors in scenes based on degraded or supersaturated depth data. This innovative imaging device captures images of a scene that includes retroreflective materials. The device generates or updates a location map of the scene based on depth images and visual images, depending on the ratios of supersaturated pixels. Additionally, it can track actors wearing retroreflective materials by analyzing the coverage areas with excessive ratios of supersaturated pixels.

Another notable patent by Hallman focuses on locally and globally locating actors using digital cameras and machine learning. This technology detects the motion of actors within a scene by processing imaging data through machine learning tools. The tools identify the heads of actors and construct line segments to track their trajectories, linking data captured by multiple cameras to locate actors throughout the scene, even when they are not within the field of view of any single camera.

Career Highlights

Samuel Nathan Hallman is currently employed at Amazon Technologies, Inc., where he continues to innovate in the field of imaging technology. His work has garnered attention for its potential applications in various industries, including entertainment and security.

Collaborations

Hallman collaborates with talented individuals such as Tian Lan and Petko Tsonev, contributing to the advancement of imaging technologies and enhancing the capabilities of their projects.

Conclusion

Samuel Nathan Hallman is a notable inventor whose work in imaging technology has led to significant advancements in detecting and locating actors in various scenes. His innovative patents reflect his commitment to pushing the boundaries of technology and improving the way we interact with visual data.