One common way to aid coaching and seek to improve athletes’performance is by recording training sessions for posterior analysis.In the case of sailing,coaches record videos from another boat,but usually rely on hand...One common way to aid coaching and seek to improve athletes’performance is by recording training sessions for posterior analysis.In the case of sailing,coaches record videos from another boat,but usually rely on handheld devices,which may lead to issues with the footage and missing important moments.On the other hand,by autonomously recording the entire session with a fixed camera,the analysis becomes challenging owing to the length of the video and possible stabilization issues.In this work,we aim to facilitate the analysis of such full-session videos by automatically extracting maneuvers and providing a visualization framework to readily locate interesting moments.Moreover,we address issues related to image stability.Finally,an evaluation of the framework points to the benefits of video stabilization in this scenario and an appropriate accuracy of the maneuver detection method.展开更多
Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kut...Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kutta method was used to solve the model;because of the huge amounts of calculation in the model’s solving,the very time-consuming process brings great impact on the real-time,fidelity and immersed feeling in the anchor handling scene simulation,seriously hindered its application in AHS.A novel parallel algorithm was proposed to speed-up the model’s solving process by taking the advantages of graphic processing units(GPU’s)massive parallel computing and float point computing capability.The model’s solving process was implemented on vertex shader based on the transform feedback(TF)mechanism in modern GPU.Experimental results show that,the new algorithm reduced the calculating time largely without losing accuracy,and can finally realize the real-time solving and simulation.展开更多
基金This work was supported by the North Sea Innovation Test Area with the help of a financial contribution from the European Regional Development Fund.
文摘One common way to aid coaching and seek to improve athletes’performance is by recording training sessions for posterior analysis.In the case of sailing,coaches record videos from another boat,but usually rely on handheld devices,which may lead to issues with the footage and missing important moments.On the other hand,by autonomously recording the entire session with a fixed camera,the analysis becomes challenging owing to the length of the video and possible stabilization issues.In this work,we aim to facilitate the analysis of such full-session videos by automatically extracting maneuvers and providing a visualization framework to readily locate interesting moments.Moreover,we address issues related to image stability.Finally,an evaluation of the framework points to the benefits of video stabilization in this scenario and an appropriate accuracy of the maneuver detection method.
基金the National High Technology Research and Development Program of China(“863”Program)(Grant No.2015AA016404)the Fundamental Research Funds for the Central Universities(Grant No.3132016310).
文摘Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kutta method was used to solve the model;because of the huge amounts of calculation in the model’s solving,the very time-consuming process brings great impact on the real-time,fidelity and immersed feeling in the anchor handling scene simulation,seriously hindered its application in AHS.A novel parallel algorithm was proposed to speed-up the model’s solving process by taking the advantages of graphic processing units(GPU’s)massive parallel computing and float point computing capability.The model’s solving process was implemented on vertex shader based on the transform feedback(TF)mechanism in modern GPU.Experimental results show that,the new algorithm reduced the calculating time largely without losing accuracy,and can finally realize the real-time solving and simulation.
