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In this paper, we present a unified approach for abnormal behavior detection and group behavior analysis in video scenes. Existing approaches for abnormal behavior detection do either use trajectory-based or pixel-based methods. Unlike these approaches, we propose an integrated pipeline that incorporates the output of object trajectory analysis and pixel-based analysis for abnormal behavior inference...
Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed to find interesting places. In this paper we present a novel approach to find interesting places in trajectories, considering the variation of the direction as the main aspect. The proposed approach has been validated with...
Many spatial association rule mining algorithms have been developed to extract interesting patterns from large geographic databases. However, a large amount of knowledge explicitly represented in geographic database schemas has not been used to reduce the number of association rules. A significant number of well known dependences, explicitly represented by the database designer, are unnecessarily...
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