The template update problem

被引：540

作者：

Matthews, I ^{[1
]}

Ishikawa, T ^{[1
]}

Baker, S ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Inst Robot, Pittsburgh, PA 15232 USA

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2004年 / 26卷 / 06期

关键词：

template tracking; the Lucas-Kanade algorithm; active appearance models;

D O I：

10.1109/TPAMI.2004.16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Template tracking dates back to the 1981 Lucas-Kanade algorithm. One question that has received very little attention, however, is how to update the template so that it remains a good model of the tracked object. We propose a template update algorithm that avoids the "drifting" inherent in the naive algorithm.

引用

页码：810 / 815

页数：6

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