Real-time event detection in field sport videos

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Abstract

This chapter describes a real-time system for event detection in sports broadcasts. The approach presented is applicable to a wide range of field sports. Using two independent event detection approaches that work simultaneously, the system is capable of accurately detecting scores, near misses, and other exciting parts of a game that do not result in a score. The results obtained across a diverse dataset of different field sports are promising, demonstrating over 90% accuracy for a feature-based event detector and 100% accuracy for a scoreboard-based detector detecting only scores.

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Kapela, R., McGuinness, K., Swietlicka, A., & O’connor, N. E. (2014). Real-time event detection in field sport videos. Advances in Computer Vision and Pattern Recognition, 71, 293–316. https://doi.org/10.1007/978-3-319-09396-3_14

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