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

页码：1227 / 1240

页数：14

共 39 条

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