Company Filing History:
Years Active: 2021
Title: Camille Claire Le Men: Innovator in Video Tracking Technology
Introduction
Camille Claire Le Men is a prominent inventor based in Seattle, WA (US). She has made significant contributions to the field of video tracking technology, particularly in the area of person tracking across video instances. Her innovative approach allows for the tracking of individuals across multiple segments of video data, enhancing the capabilities of video analysis.
Latest Patents
Camille holds a patent for her invention titled "Person tracking across video instances." This patent describes a method where people can be tracked across various segments of video data, which may correspond to different scenes within a single video file or across multiple video streams. The technology involves breaking down video data into segments that can be analyzed to identify faces and bodies. By analyzing these bodies across frames, the system can determine body tracklets that remain consistent throughout the segment. The invention also includes methods for establishing associations between faces and bodies based on relative distances and spatial relationships. Ultimately, unique identifiers are assigned to each individual represented in the video data, allowing for correlation across multiple instances.
Career Highlights
Camille is currently employed at Amazon Technologies, Inc., where she continues to develop and refine her innovative technologies. Her work has positioned her as a key player in the advancement of video tracking systems, contributing to the broader field of computer vision and artificial intelligence.
Collaborations
Throughout her career, Camille has collaborated with talented individuals such as Davide Modolo and Hao Chen. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Camille Claire Le Men is a trailblazer in the realm of video tracking technology, with her patent showcasing her expertise and innovative spirit. Her contributions are paving the way for advancements in how we analyze and interpret video data.