Open AccessOnline consistency checking for AM-FM target tracks
Author(s) -
Nick Mould,
Chuong T. Nguyen,
Colin M. Johnston,
Joseph Havlicek
Publication year - 2008
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.777162
Subject(s) - clutter , computer science , pixel , artificial intelligence , modulation (music) , computer vision , consistency (knowledge bases) , frequency modulation , process (computing) , algorithm , radio frequency , radar , telecommunications , physics , acoustics , operating system
We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection processes can be implemented in the pixel and modulation domains and used to construct useful online track consistency checks that indicate when the detection process has been degraded due to nonstationary evolution of the target signature. Throughout the paper, we use the well-known AMCOM closure sequences as exemplars. In this paper, we compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. Throughout the paper, we use the well-known AMCOM closure sequences as exemplars. We show that independent correlation based detection processes can be implemented in the pixel and modulation domains and used to construct useful online track consistency checks that indicate when the detection process has been degraded due to nonstationary evolution of the target signature. The 2-D Fourier transform S(Ω )= R2 s(x)ejΩ T
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