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 :
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