Moving target detection based on the properties of corners
文献类型：会议论文
| 作者 | Leng, Bin; He, Qing; Zeng, Dewen; Cao, Jian; Guan, Guan; Xu, Hongwei; Wu, Xiaoling; Zheng, Weimin |
| 出版日期 | 2012 |
| 会议名称 | 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 |
| 会议地点 | Guangzhou, PEOPLES R CHINA |
| 英文摘要 | In video surveillance, there are a variety of random disturbances on moving target detection, such as trees sway, camera shake. In order to eliminate these disturbances, this paper presents a novel moving object detection algorithm based on the properties of corner points. Firstly, this paper uses Harris algorithm to detect corner on the video image, and then proposes a novel indicator, Inter-frame Regional Corners Difference, to select the candidate grids of foreground. In this way, the static and slight shaking background is recognized. Secondly, this paper makes use of Horn and Schunck's optical flow algorithm to build theoptical flow field of grids that are the candidates of foreground, and extracts the moving target by some velocity constraint of the horizontal and vertical direction. In virtue of the different dynamic properties of background and moving target, the dynamic background can be eliminated. The experimental results show that our algorithm can accurately extract moving target and can meet the needs of real-time processing with strong anti-jamming. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4351]  |
| 专题 | 深圳先进技术研究院_南沙所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Leng, Bin,He, Qing,Zeng, Dewen,et al. Moving target detection based on the properties of corners[C]. 见:2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012. Guangzhou, PEOPLES R CHINA. |
入库方式： OAI收割
来源：深圳先进技术研究院
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