Augmented dictionary learning for motion prediction
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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/1721.1/105795 https://orcid.org/0000-0003-3756-3256 https://orcid.org/0000-0002-1648-8325 https://orcid.org/0000-0001-8576-1930 |