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Video Analysis of a Snooker Footage Based on a Kinematic Model

机译:基于运动学模型的斯诺克台球影像的视频分析

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Taking an inspiration from psychological studies of visual attention, the contribution of this paper lies in prediction of the critical points of the trajectory using the structure of a scene and physical motion model. On one side, we present our approach for video analysis that differs from traditional tracking techniques by predicting future states of the moving object rather than its next consecutive position using the physically-based motion functionality. On the other side, we propose to use the structure of the scene, which contains the information about the obstacles and space limits, for discovering the critical points of the trajectory. As a proof of concept we developed the use case application for analysing snooker footage.
机译:从视觉注意的心理学研究中得到启发,本文的贡献在于使用场景的结构和身体运动模型预测轨迹的关键点。一方面,我们介绍了我们的视频分析方法,该方法不同于传统的跟踪技术,它通过使用基于物理的运动功能预测运动对象而不是其下一个连续位置的未来状态。另一方面,我们建议使用场景的结构(包含有关障碍物和空间限制的信息)来发现轨迹的关键点。作为概念验证,我们开发了用于分析斯诺克镜头的用例应用程序。

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