Abstract

Vision-based human motion analysis is a very active research area in recent years. This paper presents a gait recognition method that based on kernel two-dimensional principal component analysis (K2D-PCA), and establishes the feature image of gait sequence. Experience is done in CASIA database and results show that the method has a high recognition rate and robust to the noise and missing data.

Paper Details