Human identification based on 3D tracking trajectory of head vertex

A novel biometric method for human identification is proposed based on 3D tracking trajectory of head vertex, accompanied by a systematic study on the related basic problems. Vertical displacement in sagittal plane and lateral displacement in transverse plane can be extracted from the 3D tracking trajectory of head vertex. Previous work has demonstrated effective use of height parameters (height mean and height amplitude) and stride parameters (stride length and cadence) extracted from vertical displacement for human identification. In this paper, we further extract swing parameters (swing mean, swing amplitude, and swing angle) from lateral displacement as additional discriminant features. A group of discriminant and robust features are obtained by integrating height parameters, stride parameters, and swing parameters. Experimental results confirm the effectiveness of the proposed method.