王铖;刘中姐;袁新枚;史书恒;李柏毅;

• 1:吉林大学

摘要(Abstract)：

为解决智能车辆目标跟踪过程中环境干扰导致目标丢失的问题,提出一种改进的目标跟踪算法,利用结合卡尔曼滤波的Camshift算法与ECO算法进行综合观测,对观测结果进行可靠性评价与选择性更新输出,最终实现跟踪目标状态的获取。采用目标跟踪基准(OTB)开放数据库对相关算法进行验证,结果表明,改进算法在一定程度上实现了Camshift算法和ECO算法优点的互补,抑制了常见的环境因素对目标跟随的影响。

关键词(KeyWords)： 智能车自动跟随;目标跟踪;ECO算法;Camshift算法

Abstract:

Keywords:

基金项目(Foundation): 国家级大学生创新实验计划基金项目（201910183001）

作者(Authors): 王铖;刘中姐;袁新枚;史书恒;李柏毅;

DOI: 10.19620/j.cnki.1000-3703.20200230

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