'The Ghosts of Roller Disco', a Choreographed, Interactive Performance for Robotic Roller Skates

Marynowsky, Wade; Ferguson, Sam; Fraietta, Angelo; Bown, Oliver

doi:10.1145/3374920.3375284

Cited by 4 publications

(1 citation statement)

References 10 publications

(8 reference statements)

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“…With the continuous development and growth of sports, roller skating has also been flourishing, and the new projects of modern roller skating have emerged and diversified, developing different forms of sports such as speed skating, roller skating ball, extreme roller skating, and figure skating, which are popular among people [1]. e International Roller Derby Federation was officially admitted as a member of the International Olympic Committee (IOC) at the IOC Session held in Prague, Czechoslovakia, in 2007 [2]. Speed skating is a sport that uses roller skates or skating tools on the field or road to determine victory or defeat by speed, and as a component of roller skating, it is the sport that best reflects the characteristics of roller skating, such as competitiveness, skill, and fierce confrontation [3].…”

Section: Introductionmentioning

confidence: 99%

Application Research on Roller Skater Detection, Tracking, and Trajectory Prediction Based on Video Stream

Duan¹,

Meng²,

Ma³

et al. 2021

Scientific Programming

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With the continuous progress of science and technology, the sport of roller skating has developed rapidly and the technical level of the game has become higher and higher. Its sport performance has been rapidly improved. However, China’s roller skating is relatively late, and there is still a certain gap compared with many Western developed countries. In order to improve the performance of China’s roller skating, this study takes the representative Chinese and foreign excellent speed skaters as the research object and compares the sprinting technology of Chinese and foreign excellent speed skaters by using image measurement and image analysis to obtain the kinematic parameters and data of the athletes’ sprinting technology in the competition state. In view of the problem that the current video target tracking algorithm is easy to follow multiple targets, a video multiobject detection and tracking algorithm with improved tracking learning detection (TLD) is studied with the skater in the video as the research object. For the lost target, the prediction function of Kalman filter algorithm is used to track the trajectory of the typical target in the video, and the trajectory tracked by Kalman filter algorithm is used to compensate the lost part of TLD algorithm, so as to obtain the complete trajectory of the typical target in the video to improve the accuracy of video multiobject tracking. Since the existing trajectory prediction algorithms have the limitation of poor accuracy, a social-long short-term memory (Social-LSTM) network-based video typical target trajectory prediction algorithm is proposed to predict the trajectory sequences of typical targets to be detected by incorporating the contextual environment information and the interaction relationship between multiple target trajectories into the Social-LSTM network. The simulation results show that the proposed trajectory prediction algorithm outperforms the traditional LSTM algorithm, Hidden Markov Model Algorithm, and Hybrid Gaussian model algorithm, which is helpful to improve the accuracy of video roller skater target trajectory prediction, and the tracking success rate is 0.98.

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Section: Introductionmentioning

confidence: 99%