Hema Mamidipaka and Jagadeesh Gunti
Jawaharlal Nehru Technological University, Vijayanagaram, India

The variations of viewing angle and intra-class of human beings have great impact on gait recognition systems. This work represents an Arbitrary View Transformation Model (AVTM) for recognizing the gait. Gait energy image (GEI) based gait authentication is effective approach to address the above problem, the method establishes an AVTM based on principle component analysis (PCA). Feature selection (FS) is performed using Partial least squares (PLS) method. The comparison of the AVTM PLS method with the existing methods shows significant advantages in terms of observing angle variation, carrying and attire changes. Experiments evaluated over CASIA gait database, shows that the proposed method improves the accuracy of recognition compared to the other existing methods.

Gait Analysis, GEI, PCA, PLS, Feature Selection, AVTM