[1]杨晓辉,李中科,吴乐南.模型基编码中实时三维运动估计的新方法[J].东南大学学报(自然科学版),2002,32(6):848-852.[doi:10.3969/j.issn.1001-0505.2002.06.005]
 Yang Xiaohui,Li Zhongke,Wu Lenan.New real-time 3D motion estimation in model-based coding[J].Journal of Southeast University (Natural Science Edition),2002,32(6):848-852.[doi:10.3969/j.issn.1001-0505.2002.06.005]
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模型基编码中实时三维运动估计的新方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
32
期数:
2002年第6期
页码:
848-852
栏目:
计算机科学与工程
出版日期:
2002-11-20

文章信息/Info

Title:
New real-time 3D motion estimation in model-based coding
作者:
杨晓辉 李中科 吴乐南
东南大学无线电工程系, 南京 210096
Author(s):
Yang Xiaohui Li Zhongke Wu Lenan
Department of Radio Engineering, Southeast University, Nanjing 210096, China
关键词:
3D运动估计 模型基编码 运动分析 松弛迭代搜索
Keywords:
3D motion estimation model-based coding motion analysis relax iterative search
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.2002.06.005
摘要:
将自适应迭代松弛搜索算法RSA引入到MPEG4模型基编码的三维运动参数估计中,解决了估计算法的稳健性问题.经过简化计算的复杂度,得出一种快速算法,大大提高了估计速度.同时设计有效的参数初值设置和调整方法,改善了估计的准确性,使之更适用于长序列实时运动估计.通过与预测最小均算法PLS和扩展的卡尔曼滤波算法EKF进行模拟数据和真实序列实验比较,证明本文提出的RSA算法具有很好的鲁棒性和准确性.
Abstract:
The problem of robustness in the estimation algorithm is solved by applying relax iterative search algorithm(RSA)to motion estimation of MPEG4 model-based coding. And then, a faster computation is achieved by reducing algorithm complexity. The efficient method of setting and adjusting parameters highly improves the estimation precision, making the RSA more suitable for long-term real-time estimation. Compared with the predictive least squares algorithm(PLS)and extended Kalman filter(EKF)in the experiments using synthetic data and real image sequences respectively, the results prove that the proposed scheme RSA is robust and accurate.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(60072013).
作者简介: 杨晓辉(1968—),女,博士生; 吴乐南(联系人),男,教授,博士导师.
更新日期/Last Update: 2002-11-20