文献类型： 会议论文
第一作者： Mabrouka Hagui
作者： Mabrouka Hagui 1 ; Mohamed Ali Mahjoub 1 ; Faycel Elayeb 2 ;
作者机构： 1.SAGE Research Unit, ENISo School of Engineers of Sousse, Sousse University
2.Preparatory Institute for Engineering Studies, Monastir University
关键词： Fall detection;Feature extraction;Shape deformation;Motion History of image;Coupled Hidden Markov Models
会议名称： International Conference on Natural Computation
主办单位：
页码： 675-679
摘要： Falls are a most common problem for old people. They can result in dangerous consequences even death. Many recent works have presented different approaches to detect fall and prevent dangerous outcomes. In this paper, we propose a coupled Hidden Markov Model (CHMM) for human fall detection from video streams. We use CHMM to model the motion and static spatial characteristic of human silhouette.
分类号： TP301-53
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