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An immune based two-phase approach for the multiple-type surveillance camera location problem

机译:基于免疫的两阶段方法解决多类型监控摄像机的定位问题

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摘要

For the recent years, there are more and more surveillance cameras set on lanes, train/bus stations, hospitals, schools, banks, supermarkets, shopping malls, etc., to improve the safety of people around them. In Taiwan, the so-called "E-Patrol" system is used to support policemen for providing patrol services and several criminal cases have been solved with the use of surveillance cameras of "E-Patrol" system. It is well known that inappropriate settings of surveillance cameras will result in some dead angles and oversetting of surveillance cameras will waste limited resources. The setting of surveillance cameras is an important issue and a complicated NP problem. In this paper, we consider the design problem of multiple-type surveillance cameras on various lanes in which two kinds of variables have to be decided simultaneously, namely, discrete variables for types of surveillance cameras and continuous variables for locations of surveillance cameras. The main purposes of this paper are (ⅰ) to propose an immune based two-phase approach for solving the optimal design of multiple-type surveillance camera problem, and (ⅱ) to show the excellent performance of the proposed two-phase approach.
机译:近年来,越来越多的监视摄像机安装在行车道,火车站/汽车站,医院,学校,银行,超市,购物中心等上,以提高周围人员的安全性。在台湾,所谓的“ E-Patrol”系统用于支持警察提供巡逻服务,并且通过使用“ E-Patrol”系统的监视摄像机解决了一些刑事案件。众所周知,监视摄像机的设置不当会导致某些死角,监视摄像机的过高设置会浪费有限的资源。监视摄像机的设置是一个重要问题,也是一个复杂的NP问题。在本文中,我们考虑了在不同车道上的多类型监视摄像机的设计问题,其中必须同时确定两种变量,即监视摄像机类型的离散变量和监视摄像机位置的连续变量。本文的主要目的是(ⅰ)提出一种基于免疫的两阶段方法来解决多类型监视摄像机问题的优化设计,以及(ⅱ)展示出该两阶段方法的出色性能。

著录项

  • 来源
    《Expert systems with applications》 |2009年第7期|10634-10639|共6页
  • 作者单位

    Department of Industrial Management, National Formosa University. Huwei, Yunlin 632, Taiwan;

    Department of Security Technology and Management, WuFeng Institute of Technology, Ming-Hsiung, Chia-Yi 621, Taiwan;

    Graduate Institute of Transportation and Logistics, National ChiaYi University, Chia-Yi 600, Taiwan;

    Department of Information Management, National Formosa University, Huwei, Yunlin 632, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    surveillance camera; optimal location; immune algorithm; two-phase;

    机译:监控摄像头;最佳位置;免疫算法两相;

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