%0 Journal Article
	%A Sang Hoon Lee and  Jong Sue Bae and  Taewan Kim and  Jin Mo Song and  Jong Ju Kim
	%D 2011
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 59, 2011
	%T A Novel Tracking Method Using Filtering and Geometry
	%U https://publications.waset.org/pdf/1004
	%V 59
	%X Image target detection and tracking methods based on
target information such as intensity, shape model, histogram and
target dynamics have been proven to be robust to target model
variations and background clutters as shown by recent researches.
However, no definitive answer has been given to occluded target by
counter measure or limited field of view(FOV). In this paper, we
will present a novel tracking method using filtering and computational
geometry. This paper has two central goals: 1) to deal with vulnerable
target measurements; and 2) to maintain target tracking out of FOV
using non-target-originated information. The experimental results,
obtained with airborne images, show a robust tracking ability with
respect to the existing approaches. In exploring the questions of target
tracking, this paper will be limited to consideration of airborne image.
	%P 1534 - 1540