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• W2891499322 abstract "This paper proposes a volleyball trajectory tracking method adapting to occlusion scenes. Firstly, the target volleyball is obtained in the video manually and the Kalman filter algorithm combined with Continuously Adaptive Mean Shift (CAMSHIFT) algorithm is used to track and determine the size and position of the volleyball in each frame of video, and then it is determined whether there exists an occlusion. If there is no occlusion, positions of the volleyball in each frame of video are connected to obtain the trajectory of the volleyball. If there is occlusion, the Kalman filter algorithm is used to predict the positions of the volleyball in the occlusion section, and the size remains unchanged. Finally, the positions of the volleyball in each frame of video is connected to a line to obtain the trajectory of the volleyball motion. The proposed approach solves the problem of more complicated video background in volleyball movement. When the volleyball is blocked, it can accurately predict the volleyball movement trajectory so as to accurately track the volleyball movement trajectory under dynamic and occlusion scenes." @default.
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• W2891499322 date "2018-01-01" @default.
• W2891499322 modified "2023-09-22" @default.
• W2891499322 title "A Volleyball Movement Trajectory Tracking Method Adapting to Occlusion Scenes" @default.
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• W2891499322 doi "https://doi.org/10.1007/978-981-13-2203-7_62" @default.
• W2891499322 hasPublicationYear "2018" @default.
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