Next Article in Journal
Electrochemical Aptasensor for Endocrine Disrupting 17β-Estradiol Based on a Poly(3,4-ethylenedioxylthiopene)-Gold Nanocomposite Platform
Previous Article in Journal
A Tunable Strain Sensor Using Nanogranular Metals
Article Menu

Export Article

Open AccessArticle
Sensors 2010, 10(11), 9857-9871; doi:10.3390/s101109857

A Study on Software-based Sensing Technology for Multiple Object Control in AR Video

1
Hannam University of Department of Multimedia, Daejeon, Korea
2
Sungkyunkwan University of Information & Communication Engineering, Suwon, Korea
3
ETRI Standards Research Center, Daejeon, Korea
*
Author to whom correspondence should be addressed.
Received: 20 September 2010 / Revised: 20 October 2010 / Accepted: 25 October 2010 / Published: 2 November 2010
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [573 KB, uploaded 21 June 2014]   |  

Abstract

Researches on Augmented Reality (AR) have recently received attention. With these, the Machine-to-Machine (M2M) market has started to be active and there are numerous efforts to apply this to real life in all sectors of society. To date, the M2M market has applied the existing marker-based AR technology in entertainment, business and other industries. With the existing marker-based AR technology, a designated object can only be loaded on the screen from one marker and a marker has to be added to load on the screen the same object again. This situation creates a problem where the relevant marker should be extracted and printed in screen so that loading of the multiple objects is enabled. However, since the distance between markers will not be measured in the process of detecting and copying markers, the markers can be overlapped and thus the objects would not be augmented. To solve this problem, a circle having the longest radius needs to be created from a focal point of a marker to be copied, so that no object is copied within the confines of the circle. In this paper, software-based sensing technology for multiple object detection and loading using PPHT has been developed and overlapping marker control according to multiple object control has been studied using the Bresenham and Mean Shift algorithms. View Full-Text
Keywords: software-based sensing; multiple object detection; multiple object loading; multiple object control; computer vision; augmented reality software-based sensing; multiple object detection; multiple object loading; multiple object control; computer vision; augmented reality
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Jung, S.; Song, J.-G.; Hwang, D.-J.; Ahn, J.Y.; Kim, S. A Study on Software-based Sensing Technology for Multiple Object Control in AR Video. Sensors 2010, 10, 9857-9871.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top