Real-Time Running Detection From a Moving Camera
文献类型：会议论文
| 作者 | Qingtian Wu; Huiwen Guo; Xinyu Wu; Tao He; Wei Feng; Shibo Cai |
| 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, we present a real-time running detection system from a moving camera. 11 fps and satisfying detection accuracy in outdoor surveillance environment can be achieved in the system, using only one processing thread without resorting to special hardware like GPU. Real-time and high accuracy detection are made possible by two contributions. First, we use a succession of preprocessing methods to extract regions of interest (ROI), including spatial domain analysis, computing the optical flow of every two consecutive images and predefining a threshold based on optical flow to choose effective areas as ROIs. Second, we use relative small-batch samples to train our 5- layer CNN in order to achieve a satisfying detection rate. Experiments on various videos shot in different time and places have proved that the proposed system can detect running pedestrians in outdoors effectively and robustly and meet the real-time requirement with a high detection rate. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10137]  |
| 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 | Qingtian Wu,Huiwen Guo,Xinyu Wu,et al. Real-Time Running Detection From a Moving Camera[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
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