Fuzzy Time Series-Based Trajectory Estimation of a Moving Object

被引：0

作者：

Yagimli, Mustafa ^{[1
]}

Tozan, Hakan ^{[1
]}

机构：

[1] Turkish Naval Acad, Dept Ind Engn, Dept Elect & Elect Engn, TR-34942 Tuzla Istanbul, Turkey

来源：

RECENT ADVANCES IN NEURAL NETWORKS, FUZZY SYSTEMS & EVOLUTIONARY COMPUTING | 2010年

关键词：

Object tracking; Trajectory estimation; Adaptive estimation; Fuzzy time series; FORECASTING ENROLLMENTS; ADAPTIVE-CONTROL;

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：

Trajectory estimation is one of the relatively new complicated topics of computer vision. Due to its non-ignorable relation with defense and security systems, many studies have been made related this vital subject. In this study; using an image processing technique, one-step ahead coordinates of a moving object is estimated with an adaptive fuzzy time series forecasting model.

引用

页码：161 / 166

页数：6

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