计算机应用与软件2011，Vol.28Issue(11)：85-88,4.
一种基于视觉注意机制的改进粒子滤波跟踪算法
A VISUAL ATTENTION MECHANISM BASED IMPROVED PARTICLE FILTRATION TRACKING ALGORITHM
摘要
Abstract
Object tracking is a significant subject in the research of computer vision; it is not only the foundation for target behavior understandings; but also an important contributor for an image system to work continuously and accurately. Aiming at the inaccuracy at recognition for single feature tracking algorithm, especially when shaded, it is impossible to detect or track object features. Considering the superiority of particle filter algorithm at non-liner and non-Gaussian tracking problem handling, the paper proposes an improved particle filtration tacking algorithm that merges multiple features such as color, texture, and motion etc. ; meanwhile, referring to human eyes visual attention mechanism, according to different significances to human eye stimulation by an object in different scenarios, sorts the object' s features by significance strength so as to filter distributed particles. Comparative experiments between object tracking algorithms with single feature and multiple features indicate that the proposed algorithm is better at accuracy and robustness than single feature tracking algorithm and better at timeliness than multiple features tracking algorithm.关键词
目标跟踪/粒子滤波/多特征融合/视觉注意机制Key words
Object tracking Particle filtration Features fusion Visual attention mechanism分类
信息技术与安全科学引用本文复制引用
田峥,徐成,杨志邦,马翌伦..一种基于视觉注意机制的改进粒子滤波跟踪算法[J].计算机应用与软件,2011,28(11):85-88,4.基金项目
2011中国计算机大会论文.国家自然科学基金项目(60973030) （60973030）
湖南大学中央高校基本科研业务专项资金. （）
