Running Person Detection from a Community Patrol Robot
文献类型：会议论文
| 作者 | Huiwen Guo; Shibo Cai; Xinyu Wu; Qingtian Wu; Wei Feng; Qingshi Gao |
| 出版日期 | 2016 |
| 会议名称 | IEEE International Conference on Information and Automation(ICIA) |
| 会议地点 | 中国宁波 |
| 英文摘要 | In this paper, a running person detection method is proposed for the community patrol robot. The challenges include the diversity of movement direction and the ego-motion of camera. The diversity of movement direction means that it is difficult to gain high accuracy detection by only using appearance information. The ego-motion of camera means that the motion information contains high noise. To address these limitations, two-stream architecture of convolutional networks, spatial stream and motion stream, is proposed to capture the complementary information on appearance from still frames and motion between frames. In addition, simple but effective filtering based ego-motion elimination technique is applied in motion stream input calculation. We demonstrate the efficiency of the proposed method on the video captured from the community scene and the performance compared with existing methods, which validates that the proposed method detects running person more accurately. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10139]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Huiwen Guo,Shibo Cai,Xinyu Wu,et al. Running Person Detection from a Community Patrol Robot[C]. 见:IEEE International Conference on Information and Automation(ICIA). 中国宁波. |
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。