摘要
根据多线索融合的思想,提出了一种鲁棒的抗遮挡目标跟踪算法.采用基于核密度椭圆的二值形状模板和颜色直方图模板作为跟踪线索,引入目标可视度来评价目标遮挡时颜色线索和形状线索的可信度,自适应地融合两者的信息得到最终观测模型,在粒子滤波器的框架下对目标进行跟踪.实验结果表明,在遮挡情况下,本文算法比传统的基于单一线索的算法有更好的鲁棒性.
A novel adaptive multiple-cue fusion based algorithm was proposed for anti-occlusions object tracking, which was in the framework of particle filter. The binary shape template and color histogram based on kernel ellipse were used as cues for tracking, and the visibility of an object was introduced to evaluate the reliability of the color and shape information under occlusions. According to the visibility the two cues were fused adaptively to obtain the measurement model. Experiment results showed that the proposed algorithm was much more robust to occlusions problem, compared with the tracking method based on the single cue.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2009年第7期1208-1213,1278,共7页
Journal of Zhejiang University：Engineering Science
关键词
目标跟踪
多线索融合
核密度椭圆
二值形状模板
粒子滤波
抗遮挡
object tracking
multiple-cue fusion
kernel ellipse
binary shape template particle filter
antiocclusions
