利用计算机视觉对公共区域的可疑物体进行实时检测

Proceedings of the 21st Pan-Hellenic Conference on Informatics Pub Date : 2017-09-28 DOI:10.1145/3139367.3139429

Moukoulis Achilleas, D. Eleni, P. Karypidis, M. Dasygenis

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引用次数: 2

摘要

这是一篇关于基于计算机视觉工具的实时目标跟踪应用的论文。实现了背景减法技术(BS技术)，并将其用于处理视频馈送中的目标跟踪。该应用程序可以通过向操作员提供可疑物体的自定义警报来扩展已建立的监视系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real time detection of suspicious objects in public areas using computer vision

This is a paper about a Real Time Object Tracking application based on Computer Vision tools. The Background Subtraction technique (BS Technique) is implemented and used to deal with the object tracking on video feeds.The application can extend an established surveillance system by providing custom alerts of suspicious objects to the operators.

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Proceedings of the 21st Pan-Hellenic Conference on Informatics

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