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小物体检测和跟踪:一个全面的审查

Behzad Mirzaei1, Hossein Nezamabadi-Pour1, Amir Raoof2

  • 1Intelligent Data Processing Laboratory (IDPL), Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman 76169-13439, Iran.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括
此摘要是机器生成的。

本综述探讨了计算机视觉中检测和跟踪小物体的方法. 它强调了挑战和数据集,旨在提高监控系统的准确性和适用性.

关键词:
计算机视觉 计算机视觉检测 检测 检测 检测 检测小小的物体小物体.调查调查调查调查调查调查调查调查追踪 追踪 追踪 追踪

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科学领域:

  • 计算机视觉 计算机视觉
  • 监控系统 监控系统

背景情况:

  • 对象检测和跟踪对于计算机视觉和监视至关重要.
  • 由于功能有限和信息稀缺,小物体检测和跟踪存在独特的挑战.

研究的目的:

  • 对现有的小物体检测和跟踪方法进行全面审查.
  • 提供有关数据集和评估指标的概述.
  • 为了确定当前的挑战和未来的趋势在该领域.

主要方法:

  • 现有的小型物体检测和跟踪方法的分类.
  • 对用于小物体检测和跟踪的专用数据集的审查.
  • 对绩效评估的共同评估指标的分析.

主要成果:

  • 对小型物体检测和跟踪的各种方法的结构化概述.
  • 确定研究所必需的关键数据集和指标.
  • 讨论当前的限制和新出现的趋势.

结论:

  • 应对挑战并利用未来的趋势可以增强小物体检测和跟踪.
  • 改进将增加监控系统的功能和现实世界的应用.