Augmented dictionary learning for motion prediction

ICRA, pp. 2527-2534, 2016.

Cited by: 18|Bibtex|Views21
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Developing accurate models and efficient representations of multivariate trajectories is important for understanding the behavior patterns of mobile agents. This work presents a dictionary learning algorithm for developing a part-based trajectory representation, which combines merits of the existing Markovian-based and clustering-based ap...More

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