TY - JFULL AU - Sang Hoon Lee and Jong Sue Bae and Taewan Kim and Jin Mo Song and Jong Ju Kim PY - 2011/12/ TI - A Novel Tracking Method Using Filtering and Geometry T2 - International Journal of Electrical and Computer Engineering SP - 1533 EP - 1540 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/1004 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 59, 2011 N2 - 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. ER -