A new filtering method for precision target tracking

Author

Li, Zhi-Yong ; Shen, Zhen-kang

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Defence Technol., Hunan, China

fYear

1992

fDate

18-22 May 1992

Firstpage

369

Abstract

A filtering method for precision tracking of the centroid of a target from a FLIR imaging sensor is presented. Statistical characterization of the centroid and the centroid offset between two consecutive frames of the target is derived. The relations that map the video noise statistics into the measurement noise statistics are analyzed, and their explicit expressions are obtained. The offset measurement noise is shown to be autocorrelated. Improved state variable models for tracking the target centroid are proposed. Subpixel tracking accuracy is achieved

Keywords

filtering and prediction theory; image processing; image sensors; infrared detectors; random noise; statistical analysis; tracking; FLIR imaging sensor; centroid; consecutive frames; filtering; measurement noise statistics; offset measurement noise; precision target tracking; state variable models; video noise statistics; Filtering; Image analysis; Image sensors; Image sequences; Noise measurement; Recursive estimation; Shape; Statistical analysis; Statistics; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National

Conference_Location

Dayton, OH

Print_ISBN

0-7803-0652-X

Type

conf

DOI

10.1109/NAECON.1992.220545

Filename

220545