Action Recognition by Hierarchical Sequence Summarization
Recent progress has shown that learning from hierarchical feature representations leads to improvements in various computer vision tasks. Motivated by the observation that human activity data contains information at various temporal resolutions, we present a hierarchical sequence summarization appro...
Main Authors: | Song, Yale, Morency, Louis-Philippe, Davis, Randall |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
2014
|
Online Access: | http://hdl.handle.net/1721.1/86123 https://orcid.org/0000-0001-5232-7281 |
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