Non-linear image feature tracking

被引：0
|
作者：
van Wyk, BJ [1 ]
van Wyk, MA [1 ]
机构：
[1] Tshwane Univ Technol, French S African Tech Inst Elect, Pretoria, South Africa
来源：
SEVENTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING | 2005年
关键词：
object tracking; Frobenius-Perron operator; non-linear; filtering and modelling;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel image feature tracking framework is presented. This framework is related to Particle Filter methods but differs by using the concept of a discretized Frobenius-Perron operator for evolving and transforming probability density functions (pdfs). The resulting algorithm is shown to be completely expressible in terms of linear algebraic operations.
引用
收藏
页码：371 / 375
页数：5
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