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Behaviour Analysis and Prediction in Image Sequences using Rough Sets

机译:粗糙集的图像序列的行为分析与预测

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In this paper, a rough set based data mining technique is extended and applied to learn behaviour patterns of moving objects in videos. An intelligent image analysis system is proposed to discover knowledge from video collections. The system is applied to synthetic image sequences containing motions of a predator and prey behaving according to a set of rules. The results show that the system is able to discover the rules governing the predator behaviour and is also able to predict the predator's final decision using the rules discovered.
机译:在本文中,扩展了一种基于粗糙的数据挖掘技术,以便学习视频中移动对象的行为模式。建议智能图像分析系统从视频集​​合中发现知识。该系统应用于含有捕食者的运动的合成图像序列和根据一组规则的捕食者行为。结果表明,该系统能够发现控制捕食者行为的规则,并且还能够使用发现的规则来预测捕食者的最终决定。

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