• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Signal Processing, IET >Extended target tracking filter with intermittent observations
【24h】

Extended target tracking filter with intermittent observations

机译：具有间歇性观察的扩展目标跟踪过滤器

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study addresses the problem of tracking extended target with intermittent observations. Based on practical applications, two Bernoulli distributed random variables are employed to describe the intermittent phenomenon of the positional measurements and the measurements of target extent, respectively. First, a machine vision algorithm is developed to solve the target shape parameters. Then, four sub-filters are designed according to the received observations and the achieved target shape parameters. The output of the proposed tracking filer can be obtained by the weighted-confidence fusion of the sub-filters. Finally, the machine vision algorithm is evaluated by the virtual target images created in OpenGL (Open Graphics Library) and the real images of a moving ship. The performance of the designed tracking filter is compared with the traditional tracking filter. The experiment results show the effectiveness of the machine vision approach; also the Monte-Carlo runs demonstrate that the provided tracking filter outperforms the traditional one with respect to accuracy.
机译：这项研究通过间歇性观察解决了跟踪扩展目标的问题。根据实际应用，采用两个伯努利分布随机变量分别描述位置测量和目标范围测量的间歇现象。首先，开发了一种机器视觉算法来求解目标形状参数。然后，根据接收到的观测值和所获得的目标形状参数设计四个子滤波器。可以通过子滤波器的加权置信融合来获得所提出的跟踪文件的输出。最后，通过在OpenGL（开放图形库）中创建的虚拟目标图像和移动中的船舶的真实图像来评估机器视觉算法。将设计的跟踪滤波器的性能与传统的跟踪滤波器进行比较。实验结果证明了机器视觉方法的有效性。蒙特卡洛试验还证明，所提供的跟踪滤波器在准确性方面优于传统滤波器。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号