Jingjing Xiao

Title: Innovations of Jingjing Xiao

Introduction

Jingjing Xiao is a prominent inventor based in Beijing, China. She has made significant contributions to the field of image target tracking, holding a total of four patents. Her work focuses on developing advanced methods and systems that enhance the accuracy and efficiency of tracking targets in various applications.

Latest Patents

One of her latest patents is an "Image target tracking method and system thereof." This patent outlines a method that includes obtaining a target's initial position and performing sparse sampling based on that position. The method further divides sampling points into foreground and background points, clusters adjacent foreground points, and performs robust estimation to determine the relative position between a target and any camouflage interference. This innovative approach generates a prediction trajectory that helps in tracking the target effectively.

Another notable patent is "Target tracking with inter-supervised convolutional networks." This framework encodes both generic and category-based features for tracking. It consists of a shared convolutional network that feeds into two parallel networks for classification and tracking. The system is designed to distinguish tracked objects from the background by utilizing features extracted from pre-trained models, ensuring accurate target estimation during online tracking.

Career Highlights

Jingjing Xiao is currently associated with Ulsee Inc., where she continues to innovate in the field of image processing and tracking technologies. Her work has garnered attention for its practical applications in various industries, including security and surveillance.

Conclusion

Jingjing Xiao's contributions to image target tracking through her innovative patents demonstrate her expertise and commitment to advancing technology. Her work not only enhances tracking methods but also paves the way for future developments in the field.