High-Resolution Bayes Detection of Dim Moving Point Target in IR Image Sequence Using Probabilistic Data Association Filter

Author

Hamdulla, Askar ; Lian, Xingke

Author_Institution

Coll. of Inf. Sci. & Eng., Xinjiang Univ., Urumqi

Volume

6

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

365

Lastpage

368

Abstract

Probabilistic data association (PDA) technique was found its broad applications in Radar target tracking. In this paper, based on the basic idea of PDA, a bayes-rule based high-resolution detection algorithm for dim moving point target in images sequence is presented: derived the formula for computing location-dependent Bayes threshold and posterior association probabilities for every measurement being a true target location. And the comparative performance analysis are also given in this paper.

Keywords

Bayes methods; image sequences; infrared imaging; sensor fusion; target tracking; Bayes detection; IR image sequence; dim moving point target; probabilistic data association filter; radar target tracking; Detection algorithms; Filters; Image sequences; Infrared detectors; Personal digital assistants; Radar applications; Radar detection; Radar imaging; Radar tracking; Target tracking; Dim moving point target; IR image sequence; Kalman filter; probabilistic data association filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.329

Filename

4723273