Company Filing History:
Years Active: 2010-2023
Title: Innovations of Minghua Chen
Introduction
Minghua Chen is a prominent inventor based in Coquitlam, Canada. He has made significant contributions to the field of visual object tracking, particularly in the context of unmanned aerial vehicles (UAVs). With a total of 12 patents to his name, Chen's work has advanced the capabilities of real-time tracking systems.
Latest Patents
Minghua Chen's latest patents include groundbreaking technologies such as real-time visual object tracking for unmanned aerial vehicles (UAVs). This invention provides various examples of real-time visual object tracking, including a process for local re-identification of a target object that was previously detected in a video but later lost. The process involves receiving a current video frame and a predicted location of the target object, followed by extracting a feature map and computing correlation maps to re-identify the object. Another notable patent is for high-performance visual object tracking for embedded vision systems, which describes a UAV capable of real-time visual tracking of moving objects. This system includes a processor, memory, and a camera, and utilizes a visual tracking module to compute correlations between video images to determine the updated location of the object.
Career Highlights
Throughout his career, Minghua Chen has worked with notable companies such as Altumview Systems Inc. and Ericsson AB. His experience in these organizations has allowed him to develop and refine his innovative technologies in visual tracking.
Collaborations
Minghua Chen has collaborated with talented individuals in his field, including Jie Liang and Xing Xing Wang. These partnerships have contributed to the advancement of his research and inventions.
Conclusion
Minghua Chen's contributions to the field of visual object tracking have established him as a leading inventor in this domain. His innovative patents and collaborations continue to influence the development of advanced tracking systems for UAVs.