Model-based human gait recognition using fusion of features
| Autor: | Xiaxi Huang, Nikolaos V. Boulgouris |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Image fusion
Biometrics Orientation (computer vision) business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Pattern recognition 02 engineering and technology Gait (human) Discriminative model Gait analysis Component (UML) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Image resolution ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | ICASSP |
| DOI: | 10.1109/ICASSP.2009.4959872 |
| Popis: | In this paper, we investigate the fusion of several features extracted from manually-labelled silhouettes. A novel approach for human gait recognition based on the combination of three discriminative features, i.e., the area, the gravity centre, and the orientation of each body component, is also proposed. Experimental results show that the proposed method exhibits considerably better performance, in comparison to all existing methods that use manually-extracted silhouettes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|