文件名称:19-171
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Detection, recognition and tracking of the players in
sports games which is based on image processing and computer
vision is the topic of interest of various research groups. Different
approaches regarding choice and placement of the acquisition
hardware exist. Regardless of whether a custom set of static cameras
is used or the images are acquired from directed TV coverage, player
detection and tracking is a complex process. Robustness of such a
system is the main goal of its designers. In this paper, a modular
system for tracking indoor and outdoor team games using computer
vision is proposed and described. Proposed approach is flexible and
expandable so it can be said that overall system framework provides
robustness of detection, recognition and tracking.
sports games which is based on image processing and computer
vision is the topic of interest of various research groups. Different
approaches regarding choice and placement of the acquisition
hardware exist. Regardless of whether a custom set of static cameras
is used or the images are acquired from directed TV coverage, player
detection and tracking is a complex process. Robustness of such a
system is the main goal of its designers. In this paper, a modular
system for tracking indoor and outdoor team games using computer
vision is proposed and described. Proposed approach is flexible and
expandable so it can be said that overall system framework provides
robustness of detection, recognition and tracking.
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