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Real Time Pattern Recognition in Digital Video with Applications to Safety in Construction Sites

机译:数字视频中的实时模式识别及其在建筑工地安全中的应用

摘要

In construction sites, various guidelines are provided for the correct use of safety equipment. Many fatalities and injuries occur to people because of the lack of exercise of these guidelines and proper monitoring of the violations. In order to improve these standards and amend the cause, a video based monitoring tool will be created for a construction site.Based on the real time video obtained from cameras on the site, a classification algorithm will be created which has the intelligence to recognize if any safety rules have been violated. A classification vector will be created based on the different classifiers, depending on the properties of the object and the image, to construct a classifier to classify a construction site for a safe state. If any safety rule is being violated the algorithm issues a real time alarm event making the management aware of the violations. The steadiness of the system is indicated by the probability of being in a safe state.
机译:在建筑工地中,提供了有关正确使用安全设备的各种指南。由于缺乏这些准则的使用和对违规行为的适当监控,导致许多人丧生和受伤。为了提高这些标准并纠正原因,将为建筑工地创建一个基于视频的监视工具。基于从工地摄像机获得的实时视频,将创建一个分类算法,该算法可以智能识别违反任何安全规则。取决于对象和图像的属性,将基于不同的分类器创建分类向量,以构造分类器以将施工现场分类为安全状态。如果违反了任何安全规则,则算法会发出实时警报事件,从而使管理人员意识到违规情况。系统的稳定性通过处于安全状态的概率来表示。

著录项

  • 作者

    Bajracharya Dinesh;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类

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