Increasing the tracking efficiency of mobile augmented reality using a hybrid tracking technique

Waqas Khalid Obeidy, Haslina Arshad, Shahan Ahmad Chowdhury, Behrang Parhizkar, Jiungyao Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Traditional vision tracking approaches have failed to support the fast tracking required by Mobile Augmented Reality (MAR) for a real-time interactive effect. The main problem addressed by this research is the tracking problem in MAR where the computational load is a major issue. In this paper we proposed a more efficient visual tracking technique based on fast detectors and small binary descriptors which are capable of providing both; scale and rotation invariance. We also propose a new hybrid tracking technique which can speed up the overall performance of MAR by reducing the detection rate of the tracking process. The hybrid technique is based on the usage of inertial sensors such as accelerometer, gyroscopes and gravitational vectors which can readily improve the efficiency of any vision based feature tracking system that uses computer vision. The preliminary tests carried out during the course of the study produced very promising results.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages447-457
Number of pages11
Volume8237 LNCS
DOIs
Publication statusPublished - 2013
Event3rd International Visual Informatics Conference, IVIC 2013 - Selangor
Duration: 13 Nov 201315 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8237 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Visual Informatics Conference, IVIC 2013
CitySelangor
Period13/11/1315/11/13

Fingerprint

Augmented reality
Augmented Reality
Gyroscopes
Invariance
Accelerometers
Computer vision
Rotation Invariance
Feature Tracking
Inertial Sensors
Visual Tracking
Preliminary Test
Scale Invariance
Gyroscope
Detectors
Accelerometer
Tracking System
Computer Vision
Sensors
Descriptors
Speedup

Keywords

  • Computer Vision
  • Feature Detection
  • Hybrid Tracking
  • Mobile Augmented Reality

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Obeidy, W. K., Arshad, H., Ahmad Chowdhury, S., Parhizkar, B., & Huang, J. (2013). Increasing the tracking efficiency of mobile augmented reality using a hybrid tracking technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8237 LNCS, pp. 447-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS). https://doi.org/10.1007/978-3-319-02958-0_41

Increasing the tracking efficiency of mobile augmented reality using a hybrid tracking technique. / Obeidy, Waqas Khalid; Arshad, Haslina; Ahmad Chowdhury, Shahan; Parhizkar, Behrang; Huang, Jiungyao.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. p. 447-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Obeidy, WK, Arshad, H, Ahmad Chowdhury, S, Parhizkar, B & Huang, J 2013, Increasing the tracking efficiency of mobile augmented reality using a hybrid tracking technique. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8237 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8237 LNCS, pp. 447-457, 3rd International Visual Informatics Conference, IVIC 2013, Selangor, 13/11/13. https://doi.org/10.1007/978-3-319-02958-0_41
Obeidy WK, Arshad H, Ahmad Chowdhury S, Parhizkar B, Huang J. Increasing the tracking efficiency of mobile augmented reality using a hybrid tracking technique. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS. 2013. p. 447-457. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-02958-0_41
Obeidy, Waqas Khalid ; Arshad, Haslina ; Ahmad Chowdhury, Shahan ; Parhizkar, Behrang ; Huang, Jiungyao. / Increasing the tracking efficiency of mobile augmented reality using a hybrid tracking technique. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. pp. 447-457 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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