A Survey of Multi-view Gait Recognition

As one of biometric identification methods, gait recognition has many advantages. It is suitable for human identification at a long distance, requiring no contact and hard to imitate. One of the most important factors that affect the performance of gait recognition is that the change of view or the direction of the walk, which makes the human silhouette have a large variation. We first introduce the existing multi-view gait database. Then according to the characteristics of different extraction methods, the current approaches are divided into four kinds: three-dimensional model, view-invariant features, subspace projection as well as deep neural network, and analyses are conducted on their principle, advantages and disadvantages. Finally the limitations of current research and development trend are pointed out. Copyright © 2019 Acta Automatica Sinica. All rights reserved.