Arbitrary view transformation model for gait person authentication

Camera-based gait recognition is a useful method for authenticating a person from a distance, even if the resolution of the acquired images is not high. However, different views of the compared gallery and probe decrease the recognition accuracy. To solve this problem, we propose a gait based authentication method that uses an arbitrary view transformation scheme. The proposed method constructs a transformation matrix associated with the view of the set of gallery and probe using a 3D gait database composed of non-target multiple subjects´ visual hulls. This matrix is used to transform the gallery gait features with varying views into features with the same view as the probe. Using this scheme, we can minimize the impact of the view difference. We evaluated the accuracy of the proposed method using a gait database composed of 52 subjects. The experimental results show that the proposed method is promising.