Blurred and flickering imaging targets detection and tracking against bright background
Aerial target under the daytime condition shows complex imaging characteristics, like misshapen and blurred edges, even flickering and discontinuous imaging, which becomes a bottleneck of target detection and tracking in imaging tracking system. This paper presents a novel algorithm for detecting and tracking aerial targets with blurred and flickering imagery. Firstly, point spread function (PSF) is determined combining with the feedback information of tracking process and we use a new model of image restoration proposed by Ben-Ezra to deblur the moving target. Secondly, association network model with linking mechanism is established in terms of their similarity based on accompanying values of the target features to handle the situation of flickering imaging and feature losing for target. Simulations are conducted using the proposed method for image sequences, which can obtain the good results.
Zhenming Peng Shiying Yang Fanbin Meng Heping Zhao
College of Optic-Electronic Information University of Electronic Science and Technology of China Che College of physics science and information engineering Jishou University Jishou 416000,China
国际会议
深圳
英文
387-391
2008-12-10（万方平台首次上网日期，不代表论文的发表时间）