Interframe Variation Vector: A Novel Feature for Gait Recognition

Gait representation is an important issue in gait recognition. A simple yet efficient approach, called Interframe Variation Vector (IVV), is proposed. IVV considers the spatio-temporal motion characteristic of gait, and uses the shape variation information between successive frames to represent gait signature.Different from other features, IVV rather than condenses a gait sequence into single image resulting in spatial sequence lost; it records the whole moving process in an IVV sequence. IVV can encode whole essential features of gait and preserve all the movements of limbs. Experimental results show that the proposed gait representation has a promising recognition performance.