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引用次数: 0

摘要

人群统计作为一项具有挑战性的任务,在智能视频监控、智慧城市建设、公共安全等领域有着广泛的应用,引起了研究者的关注。但与此同时,遮挡、尺度变化、视角失真等诸多因素对任务精度的影响仍然是一个亟待解决的问题。在梳理和总结相关文献的基础上,对主流人口统计方法进行综述,为今后更深入的研究奠定基础。首先,从整体上分析了人群计数方法的研究背景、现状和发展趋势。其次,以检测、回归和密度估计三个角度为出发点,总结了传统的计数方法。然后重点介绍了基于CNN的人群计数方法。再次简要介绍了常用的计数数据集,并解释了地面真值生成方法和主流评价指标。最后,在一系列分析的基础上,总结了人口统计的主要特点和发展前景。
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Current Status and Development Trend of Crowd Counting
As a challenging task, crowd counting has attracted the attention of researchers due to its wide application in the fields of smart video surveillance, smart city construction, and public safety. But at the same time, the impact of many factors, including occlusion, scale changes, and perspective distortion, on task accuracy is still a problem that needs to be solved urgently. On the basis of combing and summarizing the relevant literature, the mainstream population counting methods are reviewed to lay the foundation for more in-depth research in the future. Firstly, it analyzes the research background, current situation and development trend of crowd counting method as a whole. Secondly, the traditional counting method is summarized with the three angles of detection, regression and density estimation as the starting point. Then, it focuses on the crowd counting method based on CNN. Once again, a brief introduction to commonly used counting data sets is given, and Ground Truth generation methods and mainstream evaluation indicators are explained. Finally, based on a series of analyses, the main characteristics and development prospects of population counting are summarized.
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