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The clustering process in pattern mining of spatio-temporal trajectories is an important research content. Although there has existed extensive research on trajectory clustering, the efficiency of these algorithms is not able to meet the efficiency requirements faced with the large volumes of position data from moving objects. In order to improve the efficiency of clustering, this paper proposes two...
We propose a novel approach for the crowd anomaly detection in multiple cameras with non-overlapping view. In this paper, we refer to the activities of crowd in far-field scenes. Firstly, we present a model for learning all of the motion patterns under single camera view, which are regarded as the normal situation. In the surveillance region, we mark the entrances and exits under the single camera...
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