Spatio-temporal representation and retrieval using moving object's trajectories
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ARES'11 Proceedings of the IFIP WG 8.4/8.9 international cross domain conference on Availability, reliability and security for business, enterprise and health information systems
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KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
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Most of the researchers have used spatio-temporal relations for retrieval in video. It's just trajectory-based or content-based retrieval. However, we seldom retrieve information referring to semantics. So, in this paper, we propose a novel approach for motion recognition from the aspect of semantic meaning. This issue can be addressed through a hierarchical model that explains how the human language interacts with human motions. And, in the experiment part, we evaluate our new approach using trajectory distance based on spatio-temporal relations to distinguish the conceptual similarity and get the satisfactory results.