Gait recognition using Linear Discriminant Analysis with artificial walking conditions

In this paper, we present a novel method for the simulation of walking conditions and the generation of artificial subjects that are used for the application of Linear Discriminant Analysis. The proposed method works efficiently in situations where only one gallery sequence with one gait cycle is available for each subject in the database. The proposed method was experimentally assessed in combination with the Gait Energy Image (GEI) and the Shifted Energy Image (SEI). Very considerable improvements on the recognition and verification results are achieved.