Clutter adaptive multiframe detection/tracking of random signature targets

Author

Bruno, Marcelo G.S. ; Moura, José M F

Author_Institution

Electr. Eng. Dept., Univ. of Sao Paulo, Brazil

Volume

5

fYear

2001

fDate

2001

Firstpage

2825

Abstract

This paper develops the two-dimensional (2D) clutter adaptive, multiframe Bayes detector/tracker for targets with random signature. We model the background Clutter and the target signature as samples of two independent, spatially correlated, 2D noncausal Gauss-Markov random fields (GMrfs). The target´s motion is modeled by a 2D hidden Markov model (HMM). We study, through Monte Carlo simulations, the performance of the adaptive multiframe detector/tracker, and show that the performance of the adaptive tracker is very close to the performance of the tracker when the clutter model is perfectly known

Keywords

Bayes methods; Gaussian processes; Markov processes; adaptive signal detection; clutter; correlation methods; filtering theory; tracking filters; 2D HMM; 2D clutter adaptive detector /tracker; 2D hidden Markov model; 2D noncausal Gauss-Markov random fields; Monte Carlo simulations; background clutter; clutter adaptive multiframe detection /tracking; clutter model; filtering; independent Gauss-Markov random fields; multiframe Bayes detector /tracker; random signature targets; random target signature; spatially correlated random fields; Detectors; Filters; Gaussian processes; Hidden Markov models; Image sensors; Lattices; Motion detection; Pixel; Surveillance; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940234

Filename

940234