An Adaptive Motion Estimation Algorithm For Irregular Motion Of Objects

被引：0
|
作者：
Kajo, Ibrahim [1 ]
Malik, Aamir Saeed [1 ]
Kamel, Nidal [1 ]
机构：
[1] Univ Teknol PETRONAS, Dept Elect & Elect, Ctr Intelligent Signal & Imaging Res, Tronoh 31750, Perak, Malaysia
来源：
18TH IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE 2014) | 2014年
关键词：
Motion estimation; Diamond search; social force model; search points; surveillance; predicted motion vector;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a novel motion estimation method is proposed in order to enhance the block based matching. The enhancement is achieved by eliminating the number of search points, which in turn will reduce the computation complexity of any block based matching method. Relying on the social force model, a predicted direction of the motion vectors can be estimated significantly.
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页数：2
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