人口统计的文献综述

Nanang Cahyadi, B. Rahardjo
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引用次数: 1

摘要

人口统计系统可以为人类行为分析提供统计趋势信息。直观地说,人计数系统是基于序列检测、跟踪和计数的。然而,随着人工智能在计算机视觉领域的活跃研究,有许多可用于实现人数统计系统的替代方案。系统的文献回顾是用来获得最新的研究信息,准确地遵循了系统的要求,以及在实施中出现的差距。发现的间隙区域是在实现的设计中,以满足您的需求并提高进入或离开框架的计数器的准确性。通过在目标检测和跟踪框架中使用预训练模型进行头部检测和训练,可以采取几种策略来实现这一目标。该策略有望通过稳定目标检测和跟踪来提高精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Literature Review of People Counting
People counting systems can provide statistical trend information used for human behavior analysis. Intuitively people counting system works based on sequence detection, tracking, and counting. However, with active research activities in Artificial Intelligence in Computer Vision, there are many alternatives available for implementing a people counting system. A systematic literature review is used to obtain the latest research information that accurately following the requirements of the system being designed as well as the gap areas that arise in implementation. The gap areas found are in the design of an implementation that suits your needs and increases the accuracy of the counters who enter or leave the frame. Several strategies can be done to achieve this goal by conducting head detection and training with a pretrained model in the object detection and tracking framework. This strategy is expected to increase accuracy through stabilizing object detection and tracking.
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