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High Efficient Weightlifting Barbell Tracking Algorithm Based on Diamond Search Strategy

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Biomechanics in Medicine and Biology (BIOMECHANICS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 831))

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Abstract

An efficient weightlifting barbell tracking algorithm has been proposed in this paper. We aim to fast and accurately extract barbell route from weightlifting competition video sequence for training. To achieve this target, a vertical enhancement diamond search pattern is adopted to find out the most similarity areas. From the experimental result, our proposed algorithm is able to keep tracking exactness of barbell object and respond in real time. It helps athletics, coaches and biomechanics scholars to gather the weightlifting performance as rapidly as required by the user.

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Author information

Authors and Affiliations

  1. Graduate Institute of Sports Equipment Technology, University of Taipei, Taipei, Taiwan, R.O.C.

    Ching-Ting Hsu, Wei-Hau Ho & Jen-Shi Chen

Authors
  1. Ching-Ting Hsu
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  2. Wei-Hau Ho
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  3. Jen-Shi Chen
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Corresponding author

Correspondence to Ching-Ting Hsu .

Editor information

Editors and Affiliations

  1. Division of Biomedical Engineering, Department of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland

    Katarzyna Arkusz

  2. Division of Biomedical Engineering, Department of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland

    Romuald Będziński

  3. Division of Biomedical Engineering, Department of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland

    Tomasz Klekiel

  4. Division of Biocybernetics and Biomedical Engineering, Department of Mechanical Engineering, Bialystok University of Technology, Białystok, Poland

    Szczepan Piszczatowski

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Hsu, CT., Ho, WH., Chen, JS. (2019). High Efficient Weightlifting Barbell Tracking Algorithm Based on Diamond Search Strategy. In: Arkusz, K., Będziński, R., Klekiel, T., Piszczatowski, S. (eds) Biomechanics in Medicine and Biology. BIOMECHANICS 2018. Advances in Intelligent Systems and Computing, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-97286-2_23

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