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首页> 外文会议>Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on >Event detection for broadcast tennis videos based on trajectory analysis
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Event detection for broadcast tennis videos based on trajectory analysis

机译：基于轨迹分析的广播网球视频事件检测

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摘要

This paper presents an effective and efficient semantic event detection method for broadcast tennis videos. We proposed an effective player tracking and trajectory modification technique, and then event detection based on trajectory analysis is developed accordingly. In our work, the playfield and court line are extracted from a court view. Then, we detect player objects and utilize adaptive Kalman filter to improve the tracking accuracy. In event detection phase, we refine the unreasonable trajectory to avoid the noise interference especially in upper court, and eliminate the minor clip which can't be a meaningful event. Finally, we analyze the players' trajectory combined with tennis rules to extract semantic events. The experiments indicate that the proposed method achieves satisfactory performance with 80% of precision rate and 89% of recall rate.
机译：本文提出了一种有效的网球广播视频语义事件检测方法。提出了一种有效的玩家跟踪与轨迹修正技术，并据此发展了基于轨迹分析的事件检测技术。在我们的工作中，运动场和球场线是从球场视图中提取的。然后，我们检测玩家目标并利用自适应卡尔曼滤波器提高跟踪精度。在事件检测阶段，我们优化不合理的轨迹以避免噪声干扰，尤其是在上场时，并消除了不是有意义事件的小片段。最后，我们结合网球规则分析运动员的轨迹，以提取语义事件。实验表明，所提方法的准确率达到80％，召回率达到89％，性能令人满意。

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