Curve-based representation of moving object trajectories - IEEE Xplore
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This paper presents our curve-based trajectory representation models. The presented results show that the curve-based models provide much more accurate ...
This paper presents our curve-based trajectory representation models. The presented results show that the curve-based models provide much more accurate ...
This paper presents our curve-based trajectory representation models. The presented results show that the curve-based models provide much more accurate ...
The presented results show that the curve- based models provide much more accurate trajectories than the line-based models when the authors have the same ...
This paper presents our curve-based trajectory representation models. The presented results show that the curve-based models provide much more accurate ...
This paper presents our curve-based trajectory representation models. The presented results show that the curve-based models provide much more accurate ...
ABSTRACT. Efficiently querying large trajectory datasets is a challenge of grow- ing importance. Abstracting trajectory segments with minimum.
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- S curve is typically used in shape representation to define the boundaries of objects. In the case of trajectories, V refers to the direction of motion of a ...
This paper proposes to cluster and identify similar trajectories based on paths traversed by moving object.
Sep 22, 2020 · Trajectory clustering is an essential tool for moving object analysis, as it can help reveal hidden behaviors in the data.