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基于数字变焦和区域图像测量的颗粒过器追踪系统.

Qisen Zhao1,2, Liquan Dong1,2, Xuhong Chu1,2

  • 1Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

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|February 13, 2025
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概括
此摘要是机器生成的。

一种新的自适应数字变焦追踪方法提高了高速目标追踪精度. 这种改进的颗粒过算法 (IMR-PF) 减少了20%的跟踪错误,并在具有挑战性的条件下提高了稳定性.

关键词:
数字变焦是一个数字变焦.对象跟踪是指对象的跟踪.颗粒过器的粒子过器区域形象措施 区域形象措施

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相关实验视频

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科学领域:

  • 计算机视觉 计算机视觉
  • 信号处理 信号处理
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 高速目标的单传感器追踪在准确性,平衡视野和追踪距离方面面临挑战.
  • 现有的方法在同时实现宽视野和远距离跟踪方面存在低准确度和局限性.

研究的目的:

  • 提出一种新的兴趣区域 (ROI) 适应性数字变焦跟踪方法,以克服当前的局限性.
  • 为了提高跟踪高速移动目标的准确性和稳定性,使用单个传感器.

主要方法:

  • 开发了一个ROI自适应数字变焦跟踪系统,基于规范化目标信息的自适应ROI更新模型.
  • 引入了多个规模的区域措施和改进的颗粒过算法 (IMR-PF),以有效捕获目标变化.
  • 在高分辨率,大视野内实施高时间分辨率处理.

主要成果:

  • IMR-PF方法证明了针对目标运动变化的更好的跟踪稳定性.
  • 与最先进的方法相比,跟踪中心错误率降低了20%.
  • 在各种干扰因素和现实场景下保持有效的性能.

结论:

  • 拟议的ROI自适应数字变焦跟踪方法,特别是IMR-PF算法,显著提高了高速目标的跟踪性能.
  • 该方法为高分辨率视频应用程序提供了可行的解决方案,这些应用程序需要在动态环境中精确和强大的跟踪.