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Related Experiment Video

Updated: Jul 6, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Heads up and camera down: a vision-based tracking modality for mobile mixed reality.

Stephen DiVerdi¹, Tobias Höllerer

¹Adobe Systems Inc., Santa Barbara, CA 93106-5110, USA. stephen.diverdi@gmail.com

IEEE Transactions on Visualization and Computer Graphics

|March 29, 2008

Summary

This summary is machine-generated.

The GroundCam offers a low-cost, easy-to-set-up tracking system for mixed reality (MR). A hybrid tracker combining GroundCam with wide area tracking enhances mobile MR applications.

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Area of Science:

Computer Science
Human-Computer Interaction
Robotics

Background:

Mixed reality (MR) research requires significant initial investment in time and money.
Bridging the gap between researchers and regular users is crucial for wider MR adoption.

Purpose of the Study:

Introduce a cost-effective and low-setup tracking system for mixed reality.
Develop a hybrid tracking solution for robust indoor/outdoor mobile MR.

Main Methods:

Designed and implemented the GroundCam, a novel, low-cost tracking modality.
Analyzed factors impacting GroundCam tracking accuracy.
Developed a hybrid tracker using a complementary Kalman filter to fuse GroundCam with wide area tracking.

Main Results:

GroundCam provides high-frequency, high-resolution relative position data with reduced drift compared to inertial navigation systems.
The hybrid tracker demonstrates powerful capabilities for indoor and outdoor mobile mixed reality work.

Conclusions:

The GroundCam significantly lowers the barrier to entry for mixed reality research and applications.
The hybrid tracker offers a versatile and effective solution for mobile mixed reality experiences.