Spatiotemporal trajectory models for metalevel target tracking

Author

Fanaswala, Mustafa ; Krishnamurthy, Vikram

Author_Institution

Univ. of British Columbia, Vancouver, BC, Canada

Volume

30

Issue

1

fYear

2015

fDate

Jan. 2015

Firstpage

16

Lastpage

31

Abstract

Physical sensor-based target tracking is a classical problem that has been studied in great detail [1], [2]. This article presents metalevel tracking middleware algorithms to help human radar operators interpret tracks in order to detect and visualize suspicious spatiotemporal target trajectories. While state space models are ideal for target tracking, the main idea in this article is that stochastic context-free grammar (SCFG) models are also useful for modeling and interpreting trajectories.

Keywords

context-free grammars; middleware; radar computing; radar tracking; sensors; spatiotemporal phenomena; state-space methods; stochastic processes; target tracking; SCFG models; human radar operators; metalevel target tracking; metalevel tracking middleware algorithms; physical sensor-based target tracking; spatiotemporal target trajectories; spatiotemporal trajectory models; state space models; stochastic context-free grammar models; Algorithm design and analysis; Middleware; Nonlinear dynamical systems; Pattern formation; Spatiotemporal phenomena; Target tracking; Tracking;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems Magazine, IEEE

Publisher

ieee

ISSN

0885-8985

Type

jour

DOI

10.1109/MAES.2014.140062

Filename

7041324