Notice of RetractionReal-time human behavior recognition based on articulated model

In order to identify human behavior classification in Intelligent Security Monitoring System, an articulated model to extracting human body and classifying the behaviors of the moving objects is presented in this paper. An improved statistical Gaussian model is used as adaptive background updating method. After silhouettes of objects are extracted from the video images, we propose an articulated model of human, using the variety of body's trunk and limbs contour angles. The angles that can represent the pose of the skeleton model and length-width ratio of the human are used as feature vector. Finally Bayesian Networks is used for human posture training, modeling and activity matching to recognize the human motion. Experiment results have shown that this method gives stable performances and good robustness.

[1]  A F Bobick,et al.  Movement, activity and action: the role of knowledge in the perception of motion. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[2]  Hui-Chuan Chen,et al.  Lithology determination from well logs with fuzzy associative memory neural network , 1997, IEEE Trans. Geosci. Remote. Sens..

[3]  Shyamsundar Rajaram,et al.  Human Activity Recognition Using Multidimensional Indexing , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Zhijing Liu,et al.  The Precise Recognition of Moving Object in Complex Background , 2007, Third International Conference on Natural Computation (ICNC 2007).

[5]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[6]  Yangsheng Xu,et al.  Abnormal Behavior Detection by Multi-SVM-Based Bayesian Network , 2007, 2007 International Conference on Information Acquisition.

[7]  Li Yong-bin.  A Survey on the Vision-Based Human Motion Recognition , 2007 .

[8]  Li Hua,et al.  Human Motion Recognition and Simulation Based on Retrieval , 2006 .

[9]  Xavier Varona,et al.  aSpaces : Action Spaces for Recognition and Synthesis of Human Actions , 2002, AMDO.

[10]  Michael J. Black,et al.  Cardboard people: a parameterized model of articulated image motion , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.