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Clumoc: Multiple motion estimation by cluster motion consensus
Yinan Yu; Weiqiang Ren; Yongzhen Huang; Kaiqi Huang; Tieniu Tan
2012
Conference NameIEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance
Source Publication2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance
Pages172–177
Conference Date2012
Conference PlaceChina
AbstractIn 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.
KeywordRansac   motion Estimation   consensus Estimation
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12689
Collection智能感知与计算研究中心
Corresponding AuthorKaiqi Huang
Affiliation中国科学院自动化研究所
Recommended Citation
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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