Publication: Scene structure analysis for sprint sports
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This is an author’s accepted version of an article presented at the Image and Vision Computing New Zealand (IVCNZ 2016), 21-22 November 2016, Palmerston North, New Zealand. © 2016 Crown.
Abstract
This work proposes a robust model to analyse the structure of horse races based on 2D velocity vector information. This model is capable of detecting scene breaks, classifying the view of the contenders and extracting the trajectory of the contenders throughout the race. The performance of the system is tested over six video clips from two different broadcast sources. The performance analysis shows the model achieves a high accuracy of view classification with the lowest value of 83%, all in real time.
Citation
Hedayati, M., Cree, M. J., & Scott, J. B. (2016). Scene structure analysis for sprint sports. In D. Bailey, G. Sen Gupta, & S. Marsland (Eds.), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). Washington, DC, USA: IEEE. https://doi.org/10.1109/IVCNZ.2016.7804429
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IEEE