Human Identification by Using the Motion and Static Characteristic of Gait

Human Identification by Using the Motion and Static Characteristic of Gait

In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). The performance of the proposed algorithm is evaluated experimental...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Lam, T.H.W., Lee, R.S.T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Authentication
Biometrics
Face recognition
Frequency estimation
Fuses
Humans
Image recognition
Leg
Legged locomotion
Probes
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Beschreibung
Zusammenfassung:In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). The performance of the proposed algorithm is evaluated experimentally using the SOTON dataset and the USF dataset. The proposed algorithm has a recognition rate of around 80% in intrinsic difference group (Probe A-C) of USF dataset which is 14% higher than the baseline algorithm
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2006.637