Title :
Human Identification by Using the Motion and Static Characteristic of Gait
Author :
Lam, Toby H W ; Lee, Raymond S T
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ.
Abstract :
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
Keywords :
gait analysis; image motion analysis; image recognition; image sequences; spatiotemporal phenomena; SOTON dataset; USF dataset; gait recognition algorithm; human identification; motion silhouette contour templates; silhouette images; static silhouette templates; Authentication; Biometrics; Face recognition; Frequency estimation; Fuses; Humans; Image recognition; Leg; Legged locomotion; Probes;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.637
