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

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Abstract

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.

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Acknowledgements

The work is supported by the National Natural Science Foundation of China (Grant No.51175443), by the Science and Technology Projects of Chengdu under Grant No.11DXYB085JH-27 and by the Science and Technology Projects of Sichuan under 2013GZX0150, 13ZC1072 and 2013GZX0154.

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Authors and Affiliations

  1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, People’s Republic of China

    Zutao Zhang & Yipeng Zheng

  2. Automation and Robotic Laboratory, Iowa State University, Ames, IA, 50011, USA

    Zutao Zhang

  3. School of Information Science & Technical, Southwest Jiaotong University, Chengdu, 610031, People’s Republic of China

    Hong Xu

  4. Shandong Provincial Key Laboratory of Computer Network, Shandong Computer Science Center, Jinan, 250014, People’s Republic of China

    Hengjian Li

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  1. Zutao Zhang
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  2. Yipeng Zheng
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  3. Hong Xu
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  4. Hengjian Li
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Correspondence to Zutao Zhang.

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Zhang, Z., Zheng, Y., Xu, H. et al. A novel elevator group control algorithm based on binocular-cameras corridor passenger detection and tracking. Multimed Tools Appl 74, 1761–1775 (2015). https://doi.org/10.1007/s11042-013-1716-1

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