A Multi-View Method for Gait Recognition Based on the Length of Body''''s Parts
基于肢体长度参数的多视角步态识别算法

A multi-view method based on the length of body's parts is presented for gait recognition. Through distance-between-feet extraction and dynamic body labeling, we estimated the converter parameters of the surveillance scene and estimated five static body length parameters to denote gait signature. Experiments made on the NLPR database show that this method is quite effective in distinguishing identity, and has a high recognition rate even when the walking people are changing directions.