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ji yu kalman yu sift de che liang gen zong suan fa
Author(s): 
Pages: 14-17+49
Year: Issue:  4
Journal: Electronic Engineer

Keyword:  车辆跟踪卡尔曼(Kalman)滤波尺度不变特征变换(SIFT);
Abstract: 车辆跟踪是智能交通系统中的一项关键技术。文章在研究现有的车辆跟踪算法基础上,提出了一种基于卡尔曼(Kalman)与尺度不变特征变换(Scale invariant feature transform,SIFT)的车辆跟踪算法。通过将车辆的外接矩形信息转化为Kalman滤波参数,对车辆运动进行建模,结合SIFT特征匹配能够有效地解决车辆遮挡问题。实验结果表明,该方法能够对运动车辆实现稳定的跟踪,并且能够有效地解决车辆遮挡问题。
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