关键词: 行为识别, 姿态, 轮廓

Abstract: A video feature for action recognition was proposed. By observing 2D videos of human movement, different movement behaviors show different telescopic changes in human body and outline to some degree. Body outside silhouette and inner silhouette were termed as current frame poses, and variable poses movement. The pose-change-sequence frequencies and time mean squared errors were gathered to construct the eigenvectors. Several classification methods such as cross validating, features selecting and linear discriminant analysis were conducted on the collected data. The experimental results show that the eigenvectors have good linear separability, are unsensitive, contain appropriate distinction information, and have higher recognition precision.

Key words: action recognition, pose, silhouette