DocumentCode :
2319331
Title :
Improved small target detection for IR point target
Author :
Ye, Jihui ; Kim, Yongjin ; Lee, Boohwan ; Kim, Jieun ; Choi, Byungin
Author_Institution :
Samsung Thales Co., Ltd., Yongin, South Korea
fYear :
2009
fDate :
21-25 Sept. 2009
Firstpage :
1
Lastpage :
2
Abstract :
In the target detection algorithm based on the bivariate cubic facet fitting (BCFF), the target position can be selected so that the position has the maximum value or energy value of the filtered result. However, in the cluttered environment, it may generate a large number of clutters. In this paper, we propose the target detection algorithm which applies the maximum local contrast as the target selection method. Our proposed algorithm can considerably improve the detection rate more than the method using the maximum energy value.
Keywords :
clutter; infrared imaging; military systems; object detection; IR point target; bivariate cubic facet fitting; clutters; target detection; Cameras; Detection algorithms; Face detection; Filtering; Filters; Missiles; Object detection; Polynomials; Shape; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Infrared, Millimeter, and Terahertz Waves, 2009. IRMMW-THz 2009. 34th International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4244-5416-7
Electronic_ISBN :
978-1-4244-5417-4
Type :
conf
DOI :
10.1109/ICIMW.2009.5324903
Filename :
5324903
Link To Document :
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