A real-time effective method for infrared point-target detection in spatially varying clutter

Author

Zhanghong ; Zhaobaojun ; Maoerke

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., China

fYear

2001

fDate

2001

Firstpage

461

Lastpage

464

Abstract

This paper presents an algorithm of designing an effective image sequence processing scheme, which based on analyzing the targets and background model correctly. This algorithm will successfully detect very small (point) target in spatially varying clutter background when both the target and clutter are moving through the image scene. This method focuses on reducing the cost of computation, tracking the target in real-time, enhancing the SNR, and suppressing the clutter

Keywords

Kalman filters; clutter; filtering theory; high-pass filters; image sequences; infrared imaging; nonlinear filters; object detection; target tracking; tracking filters; IR point-target detection; SNR; background model; clutter suppression; computation cost reduction; extended Kalman filter; high-pass filter kernel; image scene; image sequence processing; infrared point-target detection; point target model; real-time effective method; spatially varying clutter background; target tracking; Algorithm design and analysis; Infrared detectors; Layout; Optical filters; Optical sensors; Pixel; Sensor arrays; Signal to noise ratio; Target tracking; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2001 CIE International Conference on, Proceedings

Conference_Location

Beijing

Print_ISBN

0-7803-7000-7

Type

conf

DOI

10.1109/ICR.2001.984740

Filename

984740