publication . Conference object . Preprint . 2019

GolfDB: A Video Database for Golf Swing Sequencing

McNally, William; Vats, Kanav; Pinto, Tyler; Dulhanty, Chris; McPhee, John; Wong, Alexander;
Open Access
  • Published: 15 Mar 2019
  • Publisher: IEEE
Abstract
The golf swing is a complex movement requiring considerable full-body coordination to execute proficiently. As such, it is the subject of frequent scrutiny and extensive biomechanical analyses. In this paper, we introduce the notion of golf swing sequencing for detecting key events in the golf swing and facilitating golf swing analysis. To enable consistent evaluation of golf swing sequencing performance, we also introduce the benchmark database GolfDB, consisting of 1400 high-quality golf swing videos, each labeled with event frames, bounding box, player name and sex, club type, and view type. Furthermore, to act as a reference baseline for evaluating golf swin...
Subjects
ACM Computing Classification System: ComputerApplications_MISCELLANEOUS
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Funded by
NSERC
Project
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
44 references, page 1 of 3

[1] M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele. 2d human pose estimation: New benchmark and state of the art analysis. In CVPR, June 2014. 5

[2] M. Baccouche, F. Mamalet, C. Wolf, C. Garcia, and A. Baskurt. Sequential deep learning for human action recognition. In International Workshop on Human Behavior Understanding, pages 29-39. Springer, 2011. 2 [OpenAIRE]

[3] J. Carreira and A. Zisserman. Quo vadis, action recognition? a new model and the kinetics dataset. In CVPR, 2017. 2, 5

[4] Y. Chu, T. C. Sell, and S. M. Lephart. The relationship between biomechanical variables and driving performance during the golf swing. Journal of sports sciences, 28(11):1251- 1259, 2010. 1

[5] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009. 5

[6] J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell. Long-term recurrent convolutional networks for visual recognition and description. In CVPR, 2015. 2

[7] A. El-Nouby and G. W. Taylor. Real-time end-to-end action detection with two-stream networks. arXiv preprint arXiv:1802.08362, 2018. 2

[8] D. Forsgren. Systems and methods for enhancing images in a video recording of a sports event. US Patent 8,077,917 B2. 2

[9] N. Gehrig, V. Lepetit, and P. Fua. Visual golf club tracking for enhanced swing analysis. In BMVC, 2003. 2

[10] S. Giancola, M. Amine, T. Dghaily, and B. Ghanem. Soccernet: A scalable dataset for action spotting in soccer videos. In CVPR Workshops, 2018. 3, 4

[11] R. Girdhar, J. Carreira, C. Doersch, and A. Zisserman. A better baseline for ava. arXiv preprint arXiv:1807.10066, 2018. 3

[12] X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In AISTATS, 2010. 5

[13] Golf 2020. 2016 golf economy report. Retrieved February 11, 2019, from https://golf2020.com/research/. 1

[14] Golf Digest. Golf Swing Sequences: Tips, Instruction, Pro Swings, July 2018. Retrieved February 12, 2019, from https://www.golfdigest.com/golf-instruction/swingsequences. 1, 2

[15] M. Guadagnoli, W. Holcomb, and M. Davis. The efficacy of video feedback for learning the golf swing. Journal of sports sciences, 20(8):615-622, 2002. 2

44 references, page 1 of 3
Related research
Abstract
The golf swing is a complex movement requiring considerable full-body coordination to execute proficiently. As such, it is the subject of frequent scrutiny and extensive biomechanical analyses. In this paper, we introduce the notion of golf swing sequencing for detecting key events in the golf swing and facilitating golf swing analysis. To enable consistent evaluation of golf swing sequencing performance, we also introduce the benchmark database GolfDB, consisting of 1400 high-quality golf swing videos, each labeled with event frames, bounding box, player name and sex, club type, and view type. Furthermore, to act as a reference baseline for evaluating golf swin...
Subjects
ACM Computing Classification System: ComputerApplications_MISCELLANEOUS
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Funded by
NSERC
Project
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
44 references, page 1 of 3

[1] M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele. 2d human pose estimation: New benchmark and state of the art analysis. In CVPR, June 2014. 5

[2] M. Baccouche, F. Mamalet, C. Wolf, C. Garcia, and A. Baskurt. Sequential deep learning for human action recognition. In International Workshop on Human Behavior Understanding, pages 29-39. Springer, 2011. 2 [OpenAIRE]

[3] J. Carreira and A. Zisserman. Quo vadis, action recognition? a new model and the kinetics dataset. In CVPR, 2017. 2, 5

[4] Y. Chu, T. C. Sell, and S. M. Lephart. The relationship between biomechanical variables and driving performance during the golf swing. Journal of sports sciences, 28(11):1251- 1259, 2010. 1

[5] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR, 2009. 5

[6] J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell. Long-term recurrent convolutional networks for visual recognition and description. In CVPR, 2015. 2

[7] A. El-Nouby and G. W. Taylor. Real-time end-to-end action detection with two-stream networks. arXiv preprint arXiv:1802.08362, 2018. 2

[8] D. Forsgren. Systems and methods for enhancing images in a video recording of a sports event. US Patent 8,077,917 B2. 2

[9] N. Gehrig, V. Lepetit, and P. Fua. Visual golf club tracking for enhanced swing analysis. In BMVC, 2003. 2

[10] S. Giancola, M. Amine, T. Dghaily, and B. Ghanem. Soccernet: A scalable dataset for action spotting in soccer videos. In CVPR Workshops, 2018. 3, 4

[11] R. Girdhar, J. Carreira, C. Doersch, and A. Zisserman. A better baseline for ava. arXiv preprint arXiv:1807.10066, 2018. 3

[12] X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In AISTATS, 2010. 5

[13] Golf 2020. 2016 golf economy report. Retrieved February 11, 2019, from https://golf2020.com/research/. 1

[14] Golf Digest. Golf Swing Sequences: Tips, Instruction, Pro Swings, July 2018. Retrieved February 12, 2019, from https://www.golfdigest.com/golf-instruction/swingsequences. 1, 2

[15] M. Guadagnoli, W. Holcomb, and M. Davis. The efficacy of video feedback for learning the golf swing. Journal of sports sciences, 20(8):615-622, 2002. 2

44 references, page 1 of 3
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publication . Conference object . Preprint . 2019

GolfDB: A Video Database for Golf Swing Sequencing

McNally, William; Vats, Kanav; Pinto, Tyler; Dulhanty, Chris; McPhee, John; Wong, Alexander;