3D particle tracking using an active vision

被引：3
作者：
Noyer, JC [1 ]
Boucher, C [1 ]
Benjelloun, M [1 ]
机构：
[1] Univ Littoral Cote Opale, Lab Analyse Syst Littoral, F-62228 Calais, France
来源：
PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 9-10期
关键词：
sensor fusion; non-linear filtering; motion analysis; 3D tracking;
D O I：
10.1016/S0167-8655(02)00304-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper concerns the 3D motion estimation and tracking of an object in a scene using an active vision system. We develop a state model which describes in an unified way this estimation problem. In this case, the main difficulty lies in the non-linear state equations. They are solved by the particle filter which avoids the linearization stage. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1227 / 1240
页数：14
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