Intelligent household surveillance robot
文献类型：会议论文
| 作者 | Xinyu Wu; Haitao Gong; Pei Chen; Zhong Zhi; Yangsheng Xu |
| 出版日期 | 2009 |
| 会议名称 | 2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 |
| 英文摘要 | Abstract-In many societies, the aged people are often living alone. For the aging population, surveillance in household environments has become more and more important. In this paper, we present a household surveillance robot that can detect abnormal events by utilizing video and audio information. In our approach, moving targets can be detected by the robot with a passive acoustic location device. Then the robot tracks the targets by employing a particle filter algorithm. In adapting to different lighting conditions, the target model is updated regularly based on an update mechanism. To achieve robust tracking, the robot detects abnormal human behaviors by tracking the upper body of a person. For audiosurveillance, Mel frequency cepstral coefficients(MFCC) is used to extract features from audio information. Those features are input to a support vector machine classifier for analysis. When any abnormal audio information is detected, a camera on the robot will be triggered to further confirm the occurrence of the abnormal event. Experimental results show that the robot can detect abnormal behaviors such as "falling down" and "running". Also, a 88.17% accuracy rate is achieved in the detection of abnormal audio information like "crying", "groan", and "gun shooting". |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2501]  |
| 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 | Xinyu Wu,Haitao Gong,Pei Chen,et al. Intelligent household surveillance robot[C]. 见:2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。