Ensemble Learning-Based Person Re-identification with Multiple Feature Representations
As an important application in video surveillance, person reidentification enables automatic tracking of a pedestrian through different disjointed camera views. It essentially focuses on extracting or learning feature representations followed by a matching model using a distance metric. In fact, per...
| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Makale |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Hindawi-Wiley
2018-01-01
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| Seri Bilgileri: | Complexity |
| Online Erişim: | http://dx.doi.org/10.1155/2018/5940181 |