Improved Gait recognition based on specialized deep convolutional neural networks

Gait recognition is a biometric technique that is used in order to determine the identity of humans based on the style and the manner of their walk. Yet, Gait recognition performance is often degraded by some covariate factors such as a viewing angle variation, clothing and carrying condition changes, and a low-image resolution. In general, current tactics to object recognition highly depend on the use of machine learning techniques. Therefore,...