Gait identification has recently gained attention as a method of identifying individuals at a distance. Thought most of the previous works mainly treated straight-walk sequences for simplicity, curved-walk sequences should be also treated considering situations where a person walks along a curved path or enters a building from a sidewalk. In such cases, person’s body sometimes tilts by centrifugal force when walking directions change, and this body tilt considerably degrades gait silhouette and identification performance, especially for widely-used appearance-based approaches. Therefore, we propose a method of body-tilted silhouette correction based on centrifugal force estimation from walking trajectories. Then, gait identification process including gait feature extraction in the frequency domain and learning of a View Transformation Model (VTM) follows the silhouette correction. Experiments of gait identification for circular-walk sequences demonstrate the effectiveness of the proposed method.
Gait Identification Considering Body Tilt by Walking Direction Changes
2009-04-15
doi:10.5565/rev/elcvia.257
ELCVIA Electronic Letters on Computer Vision and Image Analysis; Vol. 8 No. 1 (2009): July 2009; 15-26 ; 1577-5097
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
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