关键词: 行为识别, 近似运动周期分析, R变换, 动态时间规整

Abstract: Human abnormal activity recognition is studied based on approximate motion period of the human action.First of all，human contours are extracted by the use of background difference of Gaussian mixture model，and then the approximate period of human action is obtained by analyzing human shape’s deformation.After period analysis，human action sequence is decomposed into a series of approximate motion period units，and R transform characteristics of one approximate motion period unit are extracted.Finally，different types of human action are identified by the method of dynamic time warping.Experimental results show that the proposed method can identify abnormal human behavior effectively.

Key words: activity recognition, approximate motion period analysis, R transform, dynamic time warping