Abstract
This paper presents a real-time tracking method based on a color marker detection. The goal is to develop an algorithm that can find the marker in the input image with preference to speed, precision and flexibility. The paper firstly presents related works in the field of marker detection and their advantages and limitations are summarized. The main advantage of the new proposed solution is that it can be easily parallelized and therefore be implemented on GPU which offers a massive performance for this kind of problems. The designed solution is implemented in WebGL as a two-step algorithm which outputs the image coordinates of the center of the detected marker. Using WebGL technology allows the algorithm to be easily used on all platforms including mobile phones. Testing proves that this implementation of the proposed solution is robust and fast enough for real-time video processing, for example in augmented reality applications. There are also discussed possible improvements in the paper.
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This work and the contribution were supported by a project of Students Grant Agency (SPEV) - FIM, University of Hradec Kralove, Czech Republic.
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Košťák, M., Ježek, B., Slabý, A. (2019). Color Marker Detection with WebGL for Mobile Augmented Reality Systems. In: Awan, I., Younas, M., Ünal, P., Aleksy, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2019. Lecture Notes in Computer Science(), vol 11673. Springer, Cham. https://doi.org/10.1007/978-3-030-27192-3_6
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