Human Action Dynamic Modeling Recognition Based on Spatial Distribution Feature
LIN Guang-Feng1,ZHU Hong2,FAN Cai-Xia1,ZHANG Er-Hu1
1.Department of Information Science,Xi′an University of Technology,Xi′an 710048 2.Faculty of Automation and Information Engineering,Xi′an University of Technology,Xi′an 710048
Abstract The appearance feature and dynamic feature of human action have not an integrate description,which leads to distinguish human action inaccurately. In this paper,human action dynamic modeling recognition based on the spatial distribution feature (DMRSD) is proposed. Firstly,the spatial region of the feature is divided into a number of local regions by the relative polar coordinates,the statistic number of the nonzero information points is obtained in these local regions,and these numbers form a spatial distribution feature which describes the action appearance feature. Then,these spatial distribution feature sequences are modeled by autoregressive moving average model,then the feature of model parameter is obtained,which represents the dynamic time structure. Finally,the linear relation of the affinity matrix of these parameter features is hypothesized,the appearance feature structure and the dynamic motion feature structure are fused,and an integrate description is generated. Human action recognition is directly performed on the fusion structure of an integrate description by the nearest neighbor classification. Compared to the recognition results of current methods,DMRSD obtains better recognition rate on Weizmann and KTH databases.
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2013, Vol. 26 
