关键词: 步态识别, 紧致度, 矩形度, 特征融合

Abstract: Compactness and rectangularity are introduced as new region features and they are fused with center height and extendable characteristic for gait recognition.Background of sequence images is estimated by median filter.Dynamic object silhouettes are extracted by subtracting background，and extracted region features based on silhouettes.Experiments based on DTW classification algorithm in UCSD database and SOTON database show that compactness gets higher recognition rate than other features，but they are all limited；it will get a much higher recognition rate if they are fused.The experiments theoretically show that compactness and rectangularity are reasonable as gait features.

Key words: gait recognition, compactness, rectangularity, feature fusion