Background subtraction based on Pixel Clustering
文献类型：会议论文
| 作者 | Yanghong Zhang; Qing He; Haibin Wang; Guan Guan; Tao Xu; Haodong Chen |
| 出版日期 | 2016 |
| 会议名称 | The 2016 IEEE International Conference on Information and Automation(ICIA 2016) |
| 会议日期 | 2016 |
| 会议地点 | NingBo,China |
| 英文摘要 | Nowadays motion detection in video sequences is the basis for the high-level analytics and applications. After ViBe is proposed, the current mainstream detection algorithm is based on pixel level to construct the background model for the foreground / background segmentation. Influenced by this kind of algorithm, this paper proposes a spatiotemporal-based algorithm to construct an approximate precise background model. Difference with most of detection algorithms using the fixed threshold to judge the similarity of the pixel, this paper adopts the property of color clustering to determine the similarity dynamically. The experimental results on the 2012 Change Detection dataset show that the algorithm outperforms most state-of-the-art algorithms. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9779]  |
| 专题 | 深圳先进技术研究院_南沙所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Yanghong Zhang,Qing He,Haibin Wang,et al. Background subtraction based on Pixel Clustering[C]. 见:The 2016 IEEE International Conference on Information and Automation(ICIA 2016). NingBo,China. 2016. |
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。