CASIA OpenIR  > 智能感知与计算研究中心
Clumoc: Multiple motion estimation by cluster motion consensus
Yinan Yu; Weiqiang Ren; Yongzhen Huang; Kaiqi Huang; Tieniu Tan
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.
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