AIRCC's International Journal of Computer Science and Information Technology

Open Access Open Access  Restricted Access Subscription Access

Recognizing and Tracking Outdoor Objects by using Artoolkit Markers


Affiliations
1 University “St. Kliment Ohridski”, Bitola, North Macedonia, Macedonia, the former Yugoslav Republic of
 

We created an augmented reality platform for spatial exploration that recognizes buildings facades and displays various multimedia for different time points. In order to provide the user with the best user experience fast recognition and stable tracking are the key elements of any augmented reality app. In an outdoor environment, lighting, reflective surfaces and occlusion can drastically affect the user experience. In a setup where these conditions are similar, marker creation methodology and the app parameters are key. In this paper we focus on resizing the photo prior marker creating and the importance of camera calibration and resolution and their effect on the recognition speed and quality of tracking outdoor objects.

Keywords

ARToolKit, Marker Creation, Camera Calibration, Recognition Speed, Tracking Quality.
User
Notifications
Font Size

  • B. Nenovski and I. Nedelkovski, "Defining a feature-rich end-to-end augmented reality platform for spatial exploration", PROCEEDINGS OF THE 8th INTERNATIONAL CONFERENCE ON APPLIED INTERNET AND INFORMATION TECHNOLOGIES, 2018.

  • D. Khan et al., "Robust Tracking Through the Design of High Quality Fiducial Markers: An Optimization Tool for ARToolKit", IEEE Access, vol. 6, pp. 22421-22433, 2018.

  • I. RABBI and S. ULLAH, "Extending the Tracking Distance of Fiducial Markers for Large Indoor Augmented Reality Applications", Advances in Electrical and Computer Engineering, vol. 15, no. 2, pp. 59-64, 2015.

  • D. Abawi, J. Bienwald and R. Dorner, "Accuracy in Optical Tracking with Fiducial Markers: An Accuracy Function for ARToolKit", Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

  • I. Rabbi, S. Ullah, M. Javed and K. Zen, "Analysing the attributes of fiducial markers for robust tracking in augmented reality applications", International Journal of Computational Vision and Robotics, vol. 7, no. 12, p. 68, 2017.

  • P. Malbezin, W. Piekarski and B. Thomas, "Measuring ARTootKit accuracy in long distance tracking experiments", The First IEEE International Workshop Agumented Reality Toolkit,.

  • D. Khan, S. Ullah and I. Rabbi, "Factors affecting the design and tracking of ARToolKit markers", Computer Standards & Interfaces, vol. 41, pp. 56-66, 2015.

  • "rkalla/imgscalr", GitHub, 2019. [Online]. Available: https://github.com/rkalla/imgscalr. [Accessed: 22- Nov- 2019].


Abstract Views: 363

PDF Views: 162




  • Recognizing and Tracking Outdoor Objects by using Artoolkit Markers

Abstract Views: 363  |  PDF Views: 162

Authors

Blagoj Nenovski
University “St. Kliment Ohridski”, Bitola, North Macedonia, Macedonia, the former Yugoslav Republic of
Igor Nedelkovski
University “St. Kliment Ohridski”, Bitola, North Macedonia, Macedonia, the former Yugoslav Republic of

Abstract


We created an augmented reality platform for spatial exploration that recognizes buildings facades and displays various multimedia for different time points. In order to provide the user with the best user experience fast recognition and stable tracking are the key elements of any augmented reality app. In an outdoor environment, lighting, reflective surfaces and occlusion can drastically affect the user experience. In a setup where these conditions are similar, marker creation methodology and the app parameters are key. In this paper we focus on resizing the photo prior marker creating and the importance of camera calibration and resolution and their effect on the recognition speed and quality of tracking outdoor objects.

Keywords


ARToolKit, Marker Creation, Camera Calibration, Recognition Speed, Tracking Quality.

References