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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Gait Recognition Based on Modified Phase Only Correlation
verfasst von : Imad Rida, Ahmed Bouridane, Samer Al Kork, François Bremond
Erschienen in: Image and Signal Processing
Verlag: Springer International Publishing
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Clothing, carrying conditions, and other intra-class variations, also referred as ”covariates”, affect the performance of gait recognition systems. This paper proposes a supervised feature extraction method which is able to select relevant features for human recognition to mitigates the impact of covariates and hence improve the recognition performance. The proposed method is evaluated using CASIA Gait Database (Dataset B) and the experimental results suggest that our method yields attractive results.