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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

Visual Sensor Networks for Indoor Real-Time Surveillance and Tracking of Multiple Targets.

Jacopo Giordano¹, Margherita Lazzaretto¹, Giulia Michieletto²

¹Department of Information Engineering, University of Padova, 35131 Padova, Italy.

Sensors (Basel, Switzerland)

|April 12, 2022

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This study introduces a new distributed system using fixed and Pan-Tilt-Zoom (PTZ) cameras for real-time 3D indoor monitoring and multi-target tracking. A game-theory algorithm optimizes PTZ cameras to balance tracking precision and area coverage.

Area of Science:

Computer Vision
Internet of Things (IoT)
Distributed Systems

Background:

The evolution of IoT architectures is transforming traditional camera networks into intelligent, adaptive systems.
Smart multi-device systems are crucial for acquiring, processing, and exchanging data in real-time.
Dynamic environmental adaptation is a key feature of modern IoT-based surveillance.

Purpose of the Study:

To propose a novel distributed solution for real-time 3D indoor monitoring.
To achieve multi-target tracking using a heterogeneous visual sensor network.
To optimize Pan-Tilt-Zoom (PTZ) camera parameters for enhanced surveillance.

Main Methods:

Implementation of a distributed system utilizing both fixed and PTZ cameras.

Keywords:

Kalman filter distributed approach game theory heterogeneous camera network pose optimization smart cameras tracking

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Last Updated: Sep 27, 2025

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

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Published on: January 18, 2020

VisioTracker, an Innovative Automated Approach to Oculomotor Analysis

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Published on: October 12, 2011

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Published on: January 3, 2018

Employment of a distributed game-theory-based algorithm to control PTZ devices.

Simulation in realistic scenarios to validate the proposed strategy.

Main Results:

The system effectively achieves real-time monitoring of 3D indoor structured areas.
Successful tracking of multiple targets within the surveilled environment.
Demonstrated ability to balance conflicting requirements of tracking precision and area coverage.

Conclusions:

The proposed distributed solution is effective for real-time indoor surveillance and multi-target tracking.
Game-theory optimization of PTZ cameras enhances surveillance capabilities.
The strategy provides a robust approach for complex, dynamic environments.