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A novel elevator group control algorithm based on binocular-cameras corridor passenger detection and tracking

机译:基于双目摄像机走廊乘客检测与跟踪的新型电梯群控制算法

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摘要

The conventional elevator arrives at the floor in response to the user request and where is to dispatch an elevator car. There is one big problem that when system dispatches the elevator to the button responding floor, but corridor passenger is no there. In this paper, we present a novel elevator group control algorithm based on binocular-cameras corridor passenger detection and tracking, aiming to overcome the difficulty in the conventional elevator group control system. In the above proposed system, the corridor passengers are detected using Haar-like features based on binocular-cameras, and Unscented Kalman Filter (UKF) is introduced to improve robustness and accuracy of corridor passenger motion tracking. A new elevator group control strategy based on corridor passenger detection and tracking is proposed to improve the performance and transport efficiency of the elevator service. Compared with the traditional elevator group control system, the proposed system has potential advantages in minimizing passengers' waiting time and saving electronic energy. The final experimental results show the validity of our method under simulation and realistic condition.
机译:常规的电梯响应于用户请求到达楼层并且在哪里调度电梯轿厢。一个大问题是,当系统将电梯调度到按钮响应楼层,而走廊乘客不在那里时。在本文中,我们提出了一种基于双目摄像机走廊乘客检测和跟踪的新型电梯群控制算法,旨在克服传统电梯群控制系统中的困难。在以上提出的系统中,使用基于双目相机的类似Haar的特征来检测走廊乘客,并引入了无味卡尔曼滤波器(UKF)以提高走廊乘客运动跟踪的鲁棒性和准确性。提出了一种基于走廊乘客检测与跟踪的电梯群控制策略,以提高电梯服务的性能和运输效率。与传统的电梯群控系统相比,该系统具有减少乘客等待时间和节省电子能量的潜在优势。最终的实验结果证明了该方法在仿真和实际条件下的有效性。

著录项

  • 来源
    《Multimedia Tools and Applications》 |2015年第6期|1761-1775|共15页
  • 作者单位

    School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, People's Republic of China,Automation and Robotic Laboratory, Iowa State University, Ames, IA 50011, USA;

    School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, People's Republic of China;

    School of Information Science & Technical, Southwest Jiaotong University, Chengdu 610031, People's Republic of China;

    Shandong Provincial Key Laboratory of Computer Network, Shandong Computer Science Center, Jinan 250014, People's Republic of China;

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

    Elevator group control system; Binocular-cameras; Haar-like features; Unscented Kalman Filter (UKF);

    机译:电梯群控系统;双目相机;类似Haar的特征;无味卡尔曼滤波器(UKF);
  • 入库时间 2022-08-17 13:04:35

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