2015
DOI: 10.5120/21709-4825
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Visual 3D Model-based Tracking toward Autonomous Live Sports Broadcasting using a VTOL Unmanned Aerial Vehicle in GPS-Impaired Environments

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, … Show more

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Cited by 6 publications
(4 citation statements)
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References 23 publications
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“…In such a context, the proposed strategy could significantly contribute to the gathering of visual evidence against criminal acts or reinforce the border control mechanisms [ 32 , 33 , 34 , 35 ]. Covert military operations have been already mentioned, but homeland security missions, securing areas, convoy protection [ 36 ], etc., could also benefit from this approach; in sporting events [ 37 , 38 ], where the goal is to simultaneously follow several targets of interest, while minimizing intrusion in the scene; cinematographic and audiovisual works [ 39 , 40 ], with the intent of simultaneously shooting several points of view from the same trajectory in the air; wildlife monitoring, attempting to study animal behavior in relatively open areas [ 41 , 42 ], with minimal intrusion into the environment; and in traffic surveillance applications, enabling simultaneous tracking and close-up filming of the behavior of several vehicles [ 43 , 44 ].…”
Section: State-of-the-art and The Main Contributionsmentioning
confidence: 99%
“…In such a context, the proposed strategy could significantly contribute to the gathering of visual evidence against criminal acts or reinforce the border control mechanisms [ 32 , 33 , 34 , 35 ]. Covert military operations have been already mentioned, but homeland security missions, securing areas, convoy protection [ 36 ], etc., could also benefit from this approach; in sporting events [ 37 , 38 ], where the goal is to simultaneously follow several targets of interest, while minimizing intrusion in the scene; cinematographic and audiovisual works [ 39 , 40 ], with the intent of simultaneously shooting several points of view from the same trajectory in the air; wildlife monitoring, attempting to study animal behavior in relatively open areas [ 41 , 42 ], with minimal intrusion into the environment; and in traffic surveillance applications, enabling simultaneous tracking and close-up filming of the behavior of several vehicles [ 43 , 44 ].…”
Section: State-of-the-art and The Main Contributionsmentioning
confidence: 99%
“…Computer vision uses algorithms to detect identification features in video clips such as patterns or color differences [13]. A computer analysis system requires several cameras to be placed around a sports area, and can require manual input as a calibration of the game event [14]. Meanwhile, developments in the use of computer analysis technology to automate the capture of player movements continue with evaluations developed [15].…”
Section: Introductionmentioning
confidence: 99%
“…Pose estimation is used in [2] for optimizing the turning velocity of a robot. Unmanned aerial vehicle pose estimation is performed in [3] for live sports production. The three-dimensional model-based tracking of a tennis court is obtained using a monocular camera.Using computer vision in pose estimation is advantageous especially indoors where the global positioning system (GPS) is denied.…”
Section: Introductionmentioning
confidence: 99%