Motion Prejudgment Dependent Mixture System Noise in System Model for Tennis Ball 3D Position Tracking by Particle Filter

Yuan Wang, Xina Cheng, Norikazu Ikoma, Masaaki Honda, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In tennis game analysis, the 3D position of ball plays a crucial role in score judgment and player evaluation. When tracking the tennis ball in 3D space, high speed and abrupt motion change of the tennis ball are the main problems which make it difficult to predict the near future course of the ball. Aiming at solving above two problems, we propose a system model based on an elaborated mixture system noise. The mixture system noise consists of general change noise and adaptive abrupt change noise which is dependent on motion prejudgment result of tennis ball. The motion prejudgment method is carried out by the current state of ball and players. The motion of ball is classified into general motion and three abrupt motions, including smash, bounce and hit the net. Experiments based on 13 HDTV video sequences, which were recorded by four cameras located at four corners of the tennis court outside in a cloudy day including two players were used to explore the performance of the proposed method. The tracking success rate is 81.14%, gaining 27.64% improvement compared with conventional work.

Original languageEnglish
Title of host publicationProceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages124-129
Number of pages6
ISBN (Electronic)9781467390415
DOIs
Publication statusPublished - 2016 Dec 28
Event8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 - Sapporo, Hokkaido, Japan
Duration: 2016 Aug 252016 Aug 28

Other

Other8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016
CountryJapan
CitySapporo, Hokkaido
Period16/8/2516/8/28

Fingerprint

Particle Filter
Tennis courts
Ball
High definition television
Motion
Dependent
Cameras
Model
Experiments
Bounce
Hits
High Speed
Camera
Game
Model-based
Predict
Evaluation
Experiment

Keywords

  • mixture system noise
  • motion prejudgment
  • particle filtering
  • tennis ball tracking

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Software
  • Computational Mathematics
  • Modelling and Simulation

Cite this

Wang, Y., Cheng, X., Ikoma, N., Honda, M., & Ikenaga, T. (2016). Motion Prejudgment Dependent Mixture System Noise in System Model for Tennis Ball 3D Position Tracking by Particle Filter. In Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 (pp. 124-129). [7801625] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2016.0038

Motion Prejudgment Dependent Mixture System Noise in System Model for Tennis Ball 3D Position Tracking by Particle Filter. / Wang, Yuan; Cheng, Xina; Ikoma, Norikazu; Honda, Masaaki; Ikenaga, Takeshi.

Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 124-129 7801625.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, Y, Cheng, X, Ikoma, N, Honda, M & Ikenaga, T 2016, Motion Prejudgment Dependent Mixture System Noise in System Model for Tennis Ball 3D Position Tracking by Particle Filter. in Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016., 7801625, Institute of Electrical and Electronics Engineers Inc., pp. 124-129, 8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016, Sapporo, Hokkaido, Japan, 16/8/25. https://doi.org/10.1109/SCIS-ISIS.2016.0038
Wang Y, Cheng X, Ikoma N, Honda M, Ikenaga T. Motion Prejudgment Dependent Mixture System Noise in System Model for Tennis Ball 3D Position Tracking by Particle Filter. In Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 124-129. 7801625 https://doi.org/10.1109/SCIS-ISIS.2016.0038
Wang, Yuan ; Cheng, Xina ; Ikoma, Norikazu ; Honda, Masaaki ; Ikenaga, Takeshi. / Motion Prejudgment Dependent Mixture System Noise in System Model for Tennis Ball 3D Position Tracking by Particle Filter. Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 124-129
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