Automatic and efficient human pose estimation for sign language videos
We present a fully automatic arm and hand tracker that detects joint positions over continuous sign language video sequences of more than an hour in length. To achieve this, we make contributions in four areas: (i) we show that the overlaid signer can be separated from the background TV broadcast us...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer
2013
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