Foreground Detection Based on Real-time Background Modeling and Robust Subtraction
文献类型：会议论文
| 作者 | Wang, Shengshu ; Zhong, Zhi ; Chen, Pei ; Kang, Gewen ; Yang, Ming ; Xu, Yangsheng |
| 出版日期 | 2007 |
| 会议名称 | Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007 |
| 会议地点 | Jinan, China |
| 英文摘要 | This paper presents a robust approach for detecting moving objects from a static background scene that contains slow illumination changes, physical changes and micromovements. First, we propose a new algorithm for background modeling that adapts to slow illumination and physical changes. This algorithm which is based on pixel state computation and background pixel state decision does not need such training sequences excluding moving objects. Second, we develop an efficient background subtraction algorithm that is able to cope with micro-movement of thebackground scene. This is done by calculating the similarity between the incoming pixel and its neighborhood pixels in the background model. Finally, we applied this robust approach to some video surveillance sequences of both indoor and outdoor scenes. The results demonstrate the effectiveness of our approach. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2098]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Wang, Shengshu,Zhong, Zhi,Chen, Pei,et al. Foreground Detection Based on Real-time Background Modeling and Robust Subtraction[C]. 见:Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007. Jinan, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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