Real-time event detection in field sport videos

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 score

Generic slow-motion replay detection in sports video

Slow-motion replays highlight important and exciting events in sports videos. Previous works for slow-motion replay detection, however, are usually limited to only some specific production rules such as frame repetition, special video effects and transitions. In this paper, we present a generic method for detecting slow-motion replays in sports video based on the difference of motions between slowmotion replays and normal shots within the same shot class. Experiments on different types of sports videos have verified our approach and achieve reasonable results. 1