A new motion detection algorithm based on snake and mean shift
文献类型：会议论文
| 作者 | Liu Yulan; Peng Silong ; Yulan Liu
|
| 出版日期 | 2008 |
| 会议日期 | 2008/5/27-2008/5/30 |
| 会议地点 | 中国Sanya Hainan China |
| 关键词 | Motion Diction Active Contour Model Mean Shift Video Surveillance |
| 页码 | pp 140-144 |
| 英文摘要 | Active contour model and mean shift are both motion detection algorithms. Each of them has its own merits and shortcomings. An active contour tends to be tracked by noise points and results in a false boundary. A mean shift vector always points to the edge area when the start point is around the object With initial curves given near the objects in each image automatically we presented a new motion detection algorithm which used the internal energy of active contour to keep a curve continuous and smooth and also used the mean shift vector to track the curve to the real object boundary step by step with an iterative process. Experimental results showed that this algorithm can improve the segmenting results greatly in noisy videos. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12885]  |
| 专题 | 自动化研究所_智能制造技术与系统研究中心_多维数据分析团队 |
| 通讯作者 | Yulan Liu |
| 推荐引用方式 GB/T 7714 | Liu Yulan,Peng Silong,Yulan Liu. A new motion detection algorithm based on snake and mean shift[C]. 见:. 中国Sanya Hainan China. 2008/5/27-2008/5/30. |
入库方式： OAI收割
来源：自动化研究所
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