Human posture recognition aims at determining the pose of human at a given instant. This is an important topic that attracts a number of research becasue of its wide range application. HPR can be used in different applications such as heathcare system, human-robot interaction, just name a few. In this paper, the authors propose human posture recognition method based on Speeded Up Robust Features and Bag of Words model. In order to evaluate the performance of the method, the authors have done both independent and dependent experiments. The experimental results have proved the robustness of the proposed method.