| 视频监控中可变人体行为的识别 |
| |
| 引用本文： | 满君丰,李倩倩,温向兵.视频监控中可变人体行为的识别[J].东南大学学报(自然科学版),2011(3):492-497. |
| |
| 作者姓名： | 满君丰 李倩倩 温向兵 |
| |
| 作者单位： | 湖南工业大学计算机与通信学院;湖南化工职业技术学院信息工程系; |
| |
| 基金项目： | 国家自然科学基金资助项目(60773110); 湖南省自然科学基金资助项目(09JJ6087); 中国包装总公司科研资助项目(2008-XK10); 湖南省科技计划资助项目(2010FJ3041); 湖南工业大学研究生创新基金资助项目(CX1003) |
| |
| 摘 要： | 为有效识别视频监控中的人体行为,提出了新的人体行为识别模型和前景提取方法.对前景提取,采用背景边缘模型与背景模型相结合的前景检测方法,有效避免了光照、阴影等外部因素的影响.为了快速发现人体运动过程中产生的新行为,采用分层Dirichlet过程聚类人体特征数据来判断是否有未知人体行为产生,用无限HMM对含有未知行为模式的...
|
| 关 键 词： | 视频监控 行为模式 行为识别 前景提取 多层Dirichlet过程 |
Recognition for changable human behaviors in video surveillance |
| |
| Man Junfeng Li Qianqian Wen Xiangbing.Recognition for changable human behaviors in video surveillance[J].Journal of Southeast University(Natural Science Edition),2011(3):492-497. |
| |
| Authors: | Man Junfeng Li Qianqian Wen Xiangbing |
| |
| Institution: | Man Junfeng1 Li Qianqian2 Wen Xiangbing1(1School of Computer and Communication,Hunan University of Technology,Zhuzhou 412008,China)(2 Department of Information and Engineering,Hunan Chemical Vocation Technology College,Zhuzhou 412004,China) |
| |
| Abstract: | For effectively recognizing human behaviors in video surveillance,a novel behavior recognition model and a foreground extraction method are presented.For foreground detection,combining background edge model and background model,a foreground detection method is proposed,which can effectively avoid the light,shadows and other external factors.To quickly find new behaviors produced in the process of human motion,a hierarchical Dirichlet process is adopted to aggregate monitored feature data for human body to d... |
| |
| Keywords: | video surveillance behavior pattern behavior recognition foreground extraction hierarchical Dirichlet process |
| 本文献已被 CNKI 等数据库收录！ |
