Clumoc: Multiple motion estimation by cluster motion consensus | |
Yinan Yu; Weiqiang Ren; Yongzhen Huang![]() ![]() ![]() | |
2012 | |
会议名称 | IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance |
会议录名称 | 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance |
页码 | 172–177 |
会议日期 | 2012 |
会议地点 | China |
摘要 | In this paper, we present techniques for robust multiple motions estimation based on dual consensus via clustering in both the image spatial space and the motion parameter space. Starting from traditional Random Samples Consensus algorithm, we novelly propose the CLUster MOtion Consensus (CLUMOC) to extract robust motions. The proposed algorithm has two advantages: 1), instead of random samples, the CLUMOC employs clustering in initial sample selection, which can remove outliers from correct pairs of motion, 2), CLUMOC automatically decides the number of motions, by employing competition among motion and samples, that each motion needs to compete for matching pairs and each pair of matching competes for motions. The experimental results show that the proposed method is effective and efficient under various situations. |
关键词 | Ransac motion Estimation consensus Estimation |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/12689 |
专题 | 智能感知与计算研究中心 |
通讯作者 | Kaiqi Huang |
作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yinan Yu,Weiqiang Ren,Yongzhen Huang,et al. Clumoc: Multiple motion estimation by cluster motion consensus[C],2012:172–177. |
条目包含的文件 | 条目无相关文件。 |
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。
修改评论