Face Association for Videos Using Conditional Random Fields and Max-Margin Markov Networks
We address the video-based face association problem, in which one attempts to extract the face tracks of multiple subjects while maintaining label consistency. Traditional tracking algorithms have difficulty in handling this task, especially when challenging nuisance factors like motion blur, low re...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 38(2016), 9 vom: 04. Sept., Seite 1762-73 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2016
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Journal Article |
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