Mixture particle filter with block jump biomechanics constraint for volleyball players lower body parts tracking

Fanglu Xie, Xina Cheng, Takeshi Ikenaga

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

2 Citations (Scopus)

Abstract

Volleyball player body parts tracking is very important for block or jump height calculation which can be applied to TV contents and tactical analysis. This paper proposes a mixture particle filter with block jump biomechanics constraint based on 3D articulated human model. Using mixture particle filters tracking different body parts can effectively reduce the freedom degree of the human model and make each particle filter track the specific target more accurately. Block jump biomechanics constraint executes adaptive prediction model and likelihood model which can make the particle filter specific for block tracking. The experiments are based on videos of the Final Game of 2014 Japan Inter High School Games of Men's Volleyball in Tokyo. The tracking success rate reached 93.9% for left foot and 93.8% for right foot.

Original languageEnglish
Title of host publicationProceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages302-305
Number of pages4
ISBN (Electronic)9784901122160
DOIs
Publication statusPublished - 2017 Jul 19
Event15th IAPR International Conference on Machine Vision Applications, MVA 2017 - Nagoya, Japan
Duration: 2017 May 82017 May 12

Other

Other15th IAPR International Conference on Machine Vision Applications, MVA 2017
CountryJapan
CityNagoya
Period17/5/817/5/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • Cite this

    Xie, F., Cheng, X., & Ikenaga, T. (2017). Mixture particle filter with block jump biomechanics constraint for volleyball players lower body parts tracking. In Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017 (pp. 302-305). [7986861] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/MVA.2017.7986861