Visual 3D Model-based Tracking toward Autonomous Live Sports Broadcasting using a VTOL Unmanned Aerial Vehicle in GPS-Impaired Environments

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 7
Year of Publication: 2015
Authors:
Inkyu Sa
Ho Seok Ahn
10.5120/21709-4825

Inkyu Sa and Ho Seok Ahn. Article: Visual 3D Model-based Tracking toward Autonomous Live Sports Broadcasting using a VTOL Unmanned Aerial Vehicle in GPS-Impaired Environments. International Journal of Computer Applications 122(7):1-7, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Inkyu Sa and Ho Seok Ahn},
	title = {Article: Visual 3D Model-based Tracking toward Autonomous Live Sports Broadcasting using a VTOL Unmanned Aerial Vehicle in GPS-Impaired Environments},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {7},
	pages = {1-7},
	month = {July},
	note = {Full text available}
}

Abstract

This paper presents a novel approach for autonomous live sports broadcasting using visual 3D model-based tracking and a vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV) such as a quadcopter or hexacopter in GPS-impaired environments. To achieve this level of autonomy, position estimation is essential and is a highly challenging problem using a monocular camera due to the scale ambiguity. In this paper, we track a tennis court, that is standard in dimension, using a moving edge-based tracker, and recover the scale with the prior knowledge of the fixed playing field. Experimental results are demonstrated in 3 different environments including static scenes, real broadcast video, and indoor flying. We also evaluate the proposed approach with the ground truth provided by a motion capture system and achieve a position estimation with less than 0:02m standard deviation in the error.

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