信息与控制2012，Vol.41Issue(6)：752-759,8.DOI:10.3724/SP.J.1219.2012.00752
基于多特征融合的粒子滤波目标跟踪算法
Multi-feature Fusion Based Particle Filter Algorithm for Object Tracking
摘要
Abstract
A multi-feature fusion based particle filter algorithm for object tracking is proposed to improve the tracking performance with background confusion and to deal with the nonlinear or non-Gaussian characteristics of state model and observation model in vision object tracking field. An adaptive method of choosing object color histogram is presented to get an accurate color model of the object. To cope with the influence of illumination variation and background confusion, a hybrid algorithm of color histogram and edge orientation histogram under particle filter framework is put forward to improve robustness of object tracking. The results of the experiment show that the proposed algorithm can track both single objects and multi-objects, even with similar color disturbance.关键词
目标跟踪/粒子滤波/自适应颜色直方图/边缘方向直方图Key words
object tracking/ particle filter/ adaptive color histogram/ edge orientation histogram分类
信息技术与安全科学引用本文复制引用
刘士荣,朱伟涛,杨帆,仲朝亮..基于多特征融合的粒子滤波目标跟踪算法[J].信息与控制,2012,41(6):752-759,8.基金项目
国家自然科学基金资助项目(61175093). （61175093）
