Mengwen Yuan

Title: Innovations of Mengwen Yuan in Target Tracking Technology

Introduction

Mengwen Yuan is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of target tracking technology, particularly through his innovative patent related to spiking neural networks.

Latest Patents

Mengwen Yuan holds a patent for a "Target tracking method and system of spiking neural network based on event camera." This invention provides a method that includes acquiring a data stream of asynchronous events in a high dynamic scene of a target by an event camera as input data. The method further divides the data stream into synchronous event frames with millisecond time resolution. It involves training a twin network based on a spiking neural network using a gradient substitution algorithm, with a target image as a template and a complete image as a searched image. The trained twin network is then used to track the target by interpolating the result of feature mapping to up-sample and obtain the position of the target in the original image. The twin network consists of a feature extractor and a cross-correlation calculator. Mengwen Yuan has 1 patent to his name.

Career Highlights

Throughout his career, Mengwen Yuan has worked with prominent institutions such as Zhejiang Lab and Zhejiang University. His work has focused on advancing the capabilities of neural networks in real-time tracking applications.

Collaborations

Mengwen Yuan has collaborated with notable colleagues, including Wenyi Zhao and Huajin Tang, contributing to the development of innovative technologies in his field.

Conclusion

Mengwen Yuan's contributions to target tracking technology through his patent demonstrate his expertise and innovative spirit. His work continues to influence advancements in the field of neural networks and event-based tracking systems.