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International Journal of Applied Control, Electrical and Electronics Engineering最新文献

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Crowd Analysis with Fish Eye Camera 用鱼眼相机进行人群分析
Pub Date : 2018-08-30 DOI: 10.5121/ijaceee.2018.6301
Huseyin Oguzhan Tevetoglu, N. Kahraman
Nowadays crowd analysis, essential factor about decision management of brand strategy, is not a controllable field by individuals. Therefore a technology, software products is needed. In this paper we focused on what we have done about crowd analysis and examination the problem of human detection with fish-eye lenses cameras. In order to identify human density, one of the machine learning algorithm, which is Haar Classification algorithm, is used to distinguish human body under different conditions. First, motion analysis is used to search for meaningful data, and then the desired object is detected by the trained classifier. Significant data has been sent to the end user via socket programming and human density analysis is presented.
人群分析作为品牌战略决策管理的重要因素,已经不是个人可以控制的领域。因此需要一种技术、软件产品。在本文中,我们重点介绍了我们在人群分析方面所做的工作,并研究了鱼眼镜头相机的人体检测问题。为了识别人体密度,使用机器学习算法之一Haar分类算法来区分不同条件下的人体。首先使用运动分析来搜索有意义的数据,然后由训练好的分类器检测出所需的目标。通过套接字编程将重要数据发送给最终用户,并进行了人口密度分析。
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International Journal of Applied Control, Electrical and Electronics Engineering
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