摘要
以监控系统为研究背景,引入了一种基于图像多特征信息融合的ISPF跟踪算法。利用基于颜色信息的模板匹配作为底层跟踪,通过分析目标轮廓的运动信息抽取具有特殊权重的中心粒子,并利用该粒子限制和引导底层跟踪的结果。由于融合了图像的颜色信息和运动信息,从而提高了跟踪精度,仿真结果表明该方法比利用单一信息的视觉跟踪更具优越性。
A new approach to achieve visual target tracking in surveillance system is proposed, Based on ISPF and Information fusion, template matching algorithm based on color information is used as bottom tracking, and the stable results of Profile information is considered as center particle with special weight. The result of vision tracking can be restricted and guided through this center particle. The application of multi-cue supplied more information than single cue,which ensured tracking reliability. The experiments on real image sequences show that our tracker with multiple cues has more reliable performance than tracker using particle filters only based on color cue.
出处
《国外电子测量技术》
2009年第9期26-28,34,共4页
Foreign Electronic Measurement Technology
基金
甘肃省自然基金(0710RJZA060)资助项目
