HMMs-Based Human Action Recognition for an Intelligent Household Surveillance Robot
文献类型：会议论文
| 作者 | Qiaoyun Zhou; Shiqi Yu; Xinyu Wu; Qiao Gao; Chongguo Li; Yangsheng Xu |
| 出版日期 | 2009 |
| 会议名称 | 2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009 |
| 英文摘要 | The aging of population has become a social problem and fall is a major health risk in the elderly. To this end, this paper presents a novel approach for fall detection applied to an intelligent household surveillance robot. Silhouette based features are extracted, including aspect ratio of minimal bounding box of the human silhouette, approximated elliptical eccentricity, normalized central moments and Hu moments. Fall and otherhuman motions, such as walk, bend, run and crouch, are modeled using Hidden Markov Models (HMM) with Gaussian Mixture Models (GMM). The experimental results are evaluated by sensitivity, specificity and accuracy and the average of them reaches 88.71%, 97.56% and 96.26% respectively. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2492]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2009 |
| 推荐引用方式 GB/T 7714 | Qiaoyun Zhou,Shiqi Yu,Xinyu Wu,et al. HMMs-Based Human Action Recognition for an Intelligent Household Surveillance Robot[C]. 见:2009 IEEE International Conference on Robotics and Biomimetics, ROBIO 2009. |
入库方式： OAI收割
来源：深圳先进技术研究院
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