DocumentCode
2705490
Title
Moving Targets Detection and Tracking Based on Nonlinear Adaptive Filtering
Author
Ying-li, Wang ; Dai Jing-Min
Author_Institution
Harbin Inst. of Technol., Harbin
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
691
Lastpage
694
Abstract
To resolve the problem of the missile detection in the space early-warning process, an efficient method based on nonlinear adaptive filtering is proposed to detect the small IR target of low SNR under the complex background in this paper. The method can eliminate the influence of the unbalance background to the image segmentation, select the small moving target and the noise points and then eliminate wrong point targets to obtain the satisfactory detection result. The effectiveness of the method is proved by the experimental results for several infrared image sequences.
Keywords
adaptive filters; alarm systems; filtering theory; military computing; missiles; nonlinear filters; object detection; tracking; SNR; image segmentation; infrared image sequences; missile detection; moving targets detection; nonlinear adaptive filtering; small IR target; space early-warning process; tracking based filtering; Adaptive filters; Background noise; Image segmentation; Image sequences; Infrared detectors; Infrared imaging; Missiles; Object detection; Signal to noise ratio; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3073-4
Type
conf
DOI
10.1109/CISW.2007.4425589
Filename
4425589
Link To Document