Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

In vivo mitochondrial base editing restores genotype and visual function in a mouse model of LHON.

Nature communications·2025
Same author

Alterations in mitochondrial base editors enhance targeted editing efficiency for mouse model generation.

Molecular therapy. Nucleic acids·2025
Same author

Discovery of an orally bioavailable, CNS active pan-mutant RET kinase heterobifunctional degrader.

RSC medicinal chemistry·2025
Same author

Improving the Fracture Toughness of Boron Carbide via Minor Additions of SiC and TiB<sub>2</sub> Through Hot-Press Sintering.

Materials (Basel, Switzerland)·2025
Same author

Analyzing Korean Public Health Centers' Infectious Disease Disaster Response Experiences with a Focus on Business Continuity.

Risk management and healthcare policy·2024
Same author

An analysis of the combination frequencies of constituent medicinal herbs in prescriptions for the treatment of bone and joint disorder in Korean medicine: determination of a group of candidate prescriptions for universal use.

Integrative medicine research·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

A study on software-based sensing technology for multiple object control in AR video.

Sungmo Jung1, Jae-Gu Song, Dae-Joon Hwang

  • 1Hannam University of Department of Multimedia, Daejeon, Korea. sungmoj@gmail.com

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new Augmented Reality (AR) method for multiple object detection and loading in the Machine-to-Machine (M2M) market. It solves marker overlapping issues for enhanced AR experiences.

Keywords:
augmented realitycomputer visionmultiple object controlmultiple object detectionmultiple object loadingsoftware-based sensing

More Related Videos

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Related Experiment Videos

Last Updated: May 26, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Area of Science:

  • Computer Science
  • Human-Computer Interaction

Background:

  • Augmented Reality (AR) and Machine-to-Machine (M2M) technologies are increasingly integrated across various industries.
  • Existing marker-based AR systems face limitations in loading multiple objects due to marker detection and overlapping issues.

Purpose of the Study:

  • To develop a software-based sensing technology for efficient multiple object detection and loading in AR.
  • To address and resolve the problem of marker overlapping in AR applications.

Main Methods:

  • Implemented Probabilistic Hough Transform (PPHT) for robust multiple object detection.
  • Utilized Bresenham and Mean Shift algorithms for overlapping marker control and management.
  • Developed a novel approach to prevent object augmentation within a defined radius of detected markers.

Main Results:

  • Successfully demonstrated software-based sensing for detecting and loading multiple objects in AR.
  • Effectively controlled marker overlaps, enabling seamless augmentation of multiple objects.
  • The proposed method enhances the practical application of AR in the M2M market.

Conclusions:

  • The developed AR technology overcomes limitations of traditional marker-based systems for multi-object augmentation.
  • This advancement facilitates more sophisticated and practical AR applications in diverse sectors.
  • The research contributes to the growing field of interactive and immersive technologies.