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基于非线性Kalman滤波器的长序列立体图象运动估计
引用本文:黄浴,袁保宗,彭光凤.基于非线性Kalman滤波器的长序列立体图象运动估计[J].北京交通大学学报(自然科学版),1996(2).
作者姓名:黄浴  袁保宗  彭光凤
作者单位:北方交通大学信息科学研究所
摘    要:基于非线性Kalman滤波器的长序列立体图象运动估计黄浴,袁保宗,彭光凤(北方交通大学信息科学研究所,电气工程系,北京100044)摘要:讨论一种基于运动模型的、从长序列含噪立体图象中估计目标运动参数的方法。目标的运动模型具有恒进动的旋转分量和恒加速...

关 键 词:长序列立体图象,运动模型,运动参数估计

Motion Estimation From a Long Sequence of Stereo Images Using an Nonlinear Kalman Filter
Huang Yu, Yuan Baozong, Peng Guangfeng.Motion Estimation From a Long Sequence of Stereo Images Using an Nonlinear Kalman Filter[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1996(2).
Authors:Huang Yu  Yuan Baozong  Peng Guangfeng
Abstract:In this paper, a kinematic model-based approach of estimating the object motion parameters from a long sequence of noisy stereo images is discussed. The object's modeled motion has constant precession in the rotational components and constant acceleration in the translational components, and an iterative Kalman filter with damped factors is designed to estimate the model's parameters. To alleviate divergence of the nonlinear filter, a linear algorithm of generating initial state guess is proposed. Eventually,results of computer simulation are given.
Keywords:s: long sequence of stereo images  kinematic model  estimation of motion parameter
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