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- W2385858573 abstract "Gait refers to the style of walking of an individual. As an attractive biometric for human identification at distance, it is of increasing interests. This paper proposes a simple and efficient gait recognition algorithm by the way human walk. For each image sequence, the centroid offsets of the walker are first used to get the key frames. Then, both the eigenspace transformation and the canonical transformation are applied to breadth signals derived from a sequence of silhouette images to reduce the dimensionality and to increase the separability of the input feature space. Supervised pattern classification techniques are finally performed for recognition. This method can implicitly capture the structural and dynamic characteristics of gait. Extensive experimental results on outdoor image sequences demonstrate that the proposed algorithm has an encouraging performance with relatively lower computational cost." @default.
- W2385858573 created "2016-06-24" @default.
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- W2385858573 date "2005-01-01" @default.
- W2385858573 modified "2023-09-27" @default.
- W2385858573 title "Gait-Based Human Identification" @default.
- W2385858573 hasPublicationYear "2005" @default.
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