Developmental analysis of a markerless hybrid tracking technique for mobile augmented reality systems

Waqas Khalid Obeidy, Haslina Arshad, Siok Yee Tan, Hameedur Rahman

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

3 Citations (Scopus)

Abstract

Continuous tracking in Augmented Reality (AR) applications is essential for registering and augmenting the digital content on top of the real world. However, tracking on handheld devices such as PDAs or mobile phones enforces many restrictions and challenges in the form of efficiency and robustness which are the standard performance measures of tracking. This work focuses on the pre-analysis required for the development of an Accelero-Visual Markerless Hybrid Tracking Technique. The technique combines visual feature based tracking with the accelerometer sensor of the smartphones to make the process of tracking more efficient and robust. Pre-Analysis is performed for the visual and sensor based tracking approaches required to design the hybrid tracking technique. For visual tracking, the best keypoint detector and descriptors are analyzed. Careful selection of these visual tracking elements during the analysis stage helps in achieving much efficient and robust markerless augmented reality tracking results on a modern day smartphone.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages99-110
Number of pages12
Volume9429
ISBN (Print)9783319259383, 9783319259383
DOIs
Publication statusPublished - 2015
Event4th International Visual Informatics Conference, IVIC 2015 - Bangi, Malaysia
Duration: 17 Nov 201519 Nov 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9429
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Visual Informatics Conference, IVIC 2015
CountryMalaysia
CityBangi
Period17/11/1519/11/15

Fingerprint

Augmented reality
Augmented Reality
Smartphones
Personal digital assistants
Sensors
Mobile phones
Accelerometers
Detectors
Visual Tracking
Sensor
Handheld Devices
Accelerometer
Mobile Phone
Performance Measures
Descriptors
Detector
Robustness
Restriction

Keywords

  • Computer vision
  • Keypoint detection
  • Markerless tracking
  • Mobile augmented reality

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Obeidy, W. K., Arshad, H., Yee Tan, S., & Rahman, H. (2015). Developmental analysis of a markerless hybrid tracking technique for mobile augmented reality systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9429, pp. 99-110). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9429). Springer Verlag. https://doi.org/10.1007/978-3-319-25939-0_9

Developmental analysis of a markerless hybrid tracking technique for mobile augmented reality systems. / Obeidy, Waqas Khalid; Arshad, Haslina; Yee Tan, Siok; Rahman, Hameedur.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9429 Springer Verlag, 2015. p. 99-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9429).

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

Obeidy, WK, Arshad, H, Yee Tan, S & Rahman, H 2015, Developmental analysis of a markerless hybrid tracking technique for mobile augmented reality systems. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9429, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9429, Springer Verlag, pp. 99-110, 4th International Visual Informatics Conference, IVIC 2015, Bangi, Malaysia, 17/11/15. https://doi.org/10.1007/978-3-319-25939-0_9
Obeidy WK, Arshad H, Yee Tan S, Rahman H. Developmental analysis of a markerless hybrid tracking technique for mobile augmented reality systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9429. Springer Verlag. 2015. p. 99-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-25939-0_9
Obeidy, Waqas Khalid ; Arshad, Haslina ; Yee Tan, Siok ; Rahman, Hameedur. / Developmental analysis of a markerless hybrid tracking technique for mobile augmented reality systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9429 Springer Verlag, 2015. pp. 99-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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