Little work on content analysis and event detection has been done for volleyball video because it is much complex to track the ball and players in volleyball video due to the high density of players on the court and the frequent ball-player overlaps. We propose a system that can automatically detect spiking and blocking events without ball tracking. Whistle detection is applied to perform video preprocessing. With extracted video clips, camera calibration technique is exploited to detect court and net.
After locating net, moving pixel analysis is applied to detect spiking events. And we analyze the spiking events for the purpose of finding blocking patterns. According to occurring time of spiking events and blocking location, we can recognize two important tactics, delayed spiking and alternate position spiking in volleyball matches.
Since the camera is fixed, the patterns of spiking and blocking are too similar to be discriminated. As a result, multiple cameras might be able to resolve the problem and will be the focus of future work. With multiple cameras, we may not only separate blocking from spiking events but also identify the two teams of players. After separating blocking from spiking, we can collect statistical data precisely. And more accurate tactics analysis can be made with the information of two teams available.
Tracking players in volleyball videos is difficult since the court is relatively small and occlusion occurs frequently. If an effective and efficient tracking algorithm can be proposed, we can analyze the behavior of players in the matches. In addition, if ball detection and tracking are also applied, we can collect more statistics and analyze the tactics further.
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