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基于卡尔曼预测的轨迹片段关联目标跟踪算法 被引量:1

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摘要 利用卡尔曼算法对运动目标跟踪展开研究,提出了一种基于卡尔曼预测的轨迹片段关联目标跟踪算法。首先利用卡尔曼预测缩小搜索区域,对检测结果进行匹配关联,生成可信的短轨迹片段;然后对每个轨迹片段通过卡尔曼预测迭代关联,形成单个目标的跟踪轨迹集合。实验证明该方法可有效提高轨迹片段关联跟踪算法效率,解决目标相互遮挡问题,实现对目标的稳定跟踪。
作者 刘德华
出处 《软件导刊》 2017年第4期64-66,共3页 Software Guide
基金 湖北省重点实验室开放基金项目(2014KLA05)
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