Search research articles

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

NAVBOT25: Dataset for ROS-based autonomous robot navigation.

Data in brief·2026

Same author

A bilingual Malay-English social media dataset for binary hate speech detection.

Data in brief·2025

Same author

Radio frequency-based human activity dataset collected using ESP32 microcontroller in line-of-sight and non-line-of-sight indoor experiment setups.

Data in brief·2024

Same author

Usability factors predicting continuance of intention to use cloud e-learning application.

Heliyon·2019

Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026

Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026

Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026

Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026

Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026

Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Dec 6, 2025

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

Multi-audience tracking with RGB-D camera on digital signage.

Chuan-Chuan Low¹, Lee-Yeng Ong¹, Voon-Chet Koo²

¹Faculty of Information Science & Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, 75450, Malaysia.

|October 7, 2020

Summary

This summary is machine-generated.

This study introduces a new framework using digital signage and depth cameras to track multiple faces in 3D environments. This enables advertisers to better understand audience movement and measure advertising effectiveness in public spaces.

Keywords:

Computer science Depth camera Digital signage Face detection Face tracking

More Related Videos

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

Related Experiment Videos

Last Updated: Dec 6, 2025

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Published on: September 6, 2017

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

Area of Science:

Computer Vision
Human-Computer Interaction
Digital Advertising Technology

Background:

Digital signage in digital-out-of-home (DOOH) advertising is common for marketing.
Integrating digital cameras with signage allows for audience demographic gathering and measurement.
Audience measurement aids advertisers in understanding behavior and refining business strategies.

Purpose of the Study:

To propose a novel framework for tracking multiple faces in a 3D environment using digital signage and depth cameras.
To address challenges in vision-based DOOH systems, such as adjacent faces and occlusion in uncontrolled public areas.
To enable advertisers to measure advertising effectiveness by analyzing audience movement and behavior.

Main Methods:

A framework combining digital signage with a depth camera is proposed.
The system extracts audience face centroid positions (x, y) and depth information (z).
Extracted data is plotted onto an aerial map to simulate real-world audience movement.

Main Results:

The proposed framework successfully tracks multi-face movements in a 3D environment.
Audience movement simulation provides insights into real-world behavior.
The system facilitates the measurement of advertising effectiveness through audience behavior analysis.

Conclusions:

The integration of depth cameras with digital signage offers a robust solution for audience tracking in DOOH advertising.
The developed framework overcomes limitations of traditional vision-based systems in public spaces.
Advertisers can leverage this technology for more accurate audience measurement and improved marketing strategies.