The AVA Multi-View Dataset for Gait Recognition
Autor
López-Fernández, D.
Madrid-Cuevas, F.J.
Marín-Jiménez, M.J.
Muñoz-Salinas, Rafael
Carmona Poyato, Ángel
Fecha
2018Materia
Multi-view datasetGait recognition
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In this paper, we introduce a new multi-view dataset for
gait recognition. The dataset was recorded in an indoor scenario, using
six convergent cameras setup to produce multi-view videos, where each
video depicts a walking human. Each sequence contains at least 3 complete
gait cycles. The dataset contains videos of 20 walking persons with
a large variety of body size, who walk along straight and curved paths.
The multi-view videos have been processed to produce foreground silhouettes.
To validate our dataset, we have extended some appearance-based
2D gait recognition methods to work with 3D data, obtaining very encouraging
results. The dataset, as well as camera calibration information,
is freely available for research purposes