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Detection of Abrupt Changes in Spatial Relationships in Video Sequences

机译：检测视频序列中空间关系的突变变化

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Detecting unusual events in video sequences is very challenging due to cluttered background, the difficulties of accurate extraction and tracking of moving objects, illumination change, etc. In this work, we focus on detecting strong changes in spatial relationships between moving objects in video sequences, with a limited knowledge of the objects. In this approach, the spatial relationships between two objects of interest are modeled using angle and distance histograms as examples. To evaluate the evolution of the spatial relationships during time, the distances between two angle or distance histograms at two different instants in time are estimated. In addition, a combination approach is proposed to combine the evolution of directional (angle) and metric (distance) relationships. Studying the evolution of the spatial relationships during time allows us to detect the ruptures in such spatial relationships. This study can constitute a promising step toward event detection in video sequences, with few a priori models on the objects.
机译：由于杂乱的背景，检测视频序列中的异常事件是非常具有挑战性的，精确提取和跟踪移动物体，照明变化等的困难。在这项工作中，我们专注于检测视频序列中移动物体之间的空间关系的强烈变化，具有有限的对象知识。在这种方法中，使用角度和距离直方图作为示例建模两个感兴趣对象之间的空间关系。为了在时间期间评估空间关系的演变，估计两种不同时刻的两个角度或距离直方图之间的距离。另外，提出了一种组合方法来组合定向（角度）和度量（距离）关系的演变。在时间期间研究空间关系的演变允许我们检测这种空间关系中的破裂。该研究可以对视频序列中的事件检测构成有希望的步骤，对象上有很少的先验模型。

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