Bayesian smoothing and filtering for multiframe, multiaspect target detection and tracking

Author

Bruno, Marcelo G S ; Moura, José M F

Author_Institution

Inst. Tecnologico de Aeronaut., Brazil

Volume

1

fYear

2002

fDate

2002

Abstract

We introduce a new Bayesian algorithm for joint multiframe detection and tracking of multiaspect targets that move randomly in cluttered digital image sequences. Two versions of the algorithm are derived: a batch Bayes smoother and an on-line Bayes filter. Performance results with a simulated image sequence generated from real infrared airborne radar (IRAR) data show an improvement over the association of a bank of correlation detectors and a Kalman-Bucy tracker in a scenario with a heavily cluttered multiaspect target.

Keywords

Bayes methods; airborne radar; clutter; hidden Markov models; image sequences; object detection; optical radar; optical tracking; smoothing methods; target tracking; Bayes filter; Bayes smoother; Bayesian filtering; Bayesian smoothing; HMM; Kalman-Bucy tracker; clutter; digital image sequences; infrared airborne radar; multiaspect target detection; multiaspect target tracking; multiframe detection; multiframe tracking; Bayesian methods; Digital images; Filtering; Filters; Infrared detectors; Object detection; Radar detection; Radar tracking; Smoothing methods; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing. 2002. Proceedings. 2002 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7622-6

Type

conf

DOI

10.1109/ICIP.2002.1038085

Filename

1038085