Improving human action recognition using score distribution and ranking
We propose two complementary techniques to improve the performance of action recognition systems. The first technique addresses the temporal interval ambiguity of actions by learning a classifier score distribution over video subsequences. A classifier based on this score distribution is shown to be...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2015
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