Recognizing gestures by learning local motion signatures of HOG descriptors
We introduce a new gesture recognition framework based on learning local motion signatures (LMSs) of HOG descriptors introduced by [1]. Our main contribution is to propose a new probabilistic learning-classification scheme based on a reliable tracking of local features. After the generation of these...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 11 vom: 01. Nov., Seite 2247-58 |
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| Format: | Article en ligne |
| Langue: | English |
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2012
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |