Model-based human action recognition

Abstract

The identification of human basic actions plays an important role for recognizing human activities in complex scene. In this paper we propose an approach for automatic human action recognition. The parametric model of human is extracted from image sequences using motion/texture based human detection and tracking. Action features from its model are carefully defined into the action interaction representation and used for the recognizing process. Performance of proposed method is tested experimentally using datasets under indoor environments. © 2010 Copyright SPIE - The International Society for Optical Engineering.