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An algorithm to identify avoidance behavior in moving object trajectories

机译:一种识别运动物体轨迹中回避行为的算法

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Research on trajectory behavior has increased significantly in the last few years. The focus has been on the search for patterns considering the movement of the moving object in space and time, essentially looking for similar geometric properties and dense regions. This paper proposes an algorithm to detect a new kind of behavior pattern that identifies when a moving object is avoiding specific spatial regions, such as security cameras. This behavior pattern is called avoidance. The algorithm was evaluated with real trajectory data and achieved very good results.
机译:在过去的几年中,关于轨迹行为的研究已经大大增加。重点一直在寻找考虑到移动物体在空间和时间上的运动的模式,本质上是寻找相似的几何特性和密集区域。本文提出了一种算法,用于检测一种新型的行为模式,该模式可识别运动对象何时避开特定的空间区域(例如安全摄像机)。这种行为模式称为回避。该算法通过真实的轨迹数据进行了评估,取得了很好的效果。

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