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Updated: Oct 5, 2025

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
Published on: January 18, 2020
Jinjun Rao1, Kai Xu1, Jinbo Chen1
1Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
This study presents a multi-camera system for detecting and tracking sea-surface moving targets. The cooperative approach enhances visual tracking reliability and precision for maritime surveillance applications.
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