计算机工程与应用2011，Vol.47Issue(34)：21-25,5.DOI:10.3778/j.issn.1002-8331.2011.34.006
融合典型纹理特征的粒子滤波目标跟踪方法
Particle filter methods imported by typical texture's characteristics in object tracking
摘要
Abstract
Aiming at tracking windows' instability disturbed by noise on the process of image-object tracking, typical texture's characteristics are creatively integrated into the particle filter framework on the domain of real-time tracking.Three kinds of typical texture' s characteristics gray level co-occurrence matrix, breadth and direction texture, local binary model texture are tested on object tracking experiment.By doing contrastive experiment,the practical effect about texture's characteristics are measured and proved from view of precision and speed.As the choice about characteristics being tested in tracking,the results show the excellent quality of the gray level co-occurrence matrix texture which can timely resist analogous color's disturbance.关键词
粒子滤波/目标跟踪/纹理特征Key words
particle filter/object tracking/texture characteristic分类
信息技术与安全科学引用本文复制引用
吴刚,唐振民,杨静宇..融合典型纹理特征的粒子滤波目标跟踪方法[J].计算机工程与应用,2011,47(34):21-25,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.90820306) （the National Natural Science Foundation of China under Grant No.90820306）
江苏省高校自然科学研究项目(No.09K.B580002). （No.09K.B580002）
