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Towards Visual Human Tracking of Quadcopter: A Survey

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Advanced Computational Methods in Life System Modeling and Simulation (ICSEE 2017, LSMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 761))

Abstract

In recent years, visual human tracking of quadcopter has become a topic of interest to many research institutions. To overview the recent research status of visual human tracking based on quadcopter, firstly, the problem of human tracking is divided into quadcopter control and vision based human tracking which are discussed separately. The present controlling means and the latest applications of quadcopter are summarized systematically. The advantages and disadvantages of each human tracking method are compared and the tracking strategies are summarized. Then, the difficult issues on visual human tracking are discussed specifically. Finally, the future research directions of visual human tracking based on quadcopter are prospected by summarizing related literatures.

This work was supported by Natural Science Foundation of China (61403244), Science and Technology Commission of Shanghai Municipality under “Shanghai Sailing Pro-gram” (14YF1408600, 16YF1403700), Key Project of Science and Technology Com-mission of Shanghai Municipality (15411953502), Shanghai University Youth Teacher Training Assistance Scheme (ZZSD15088).

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Authors and Affiliations

  1. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Ling Chen, Xinxing Pan, Aolei Yang & Yulin Xu

Authors
  1. Ling Chen
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  2. Xinxing Pan
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  3. Aolei Yang
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  4. Yulin Xu
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Corresponding author

Correspondence to Aolei Yang .

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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Minrui Fei

  2. Shanghai University, Shanghai, China

    Shiwei Ma

  3. Shanghai University, Shanghai, China

    Xin Li

  4. Shanghai University, Shanghai, China

    Xin Sun

  5. Shanghai University, Shanghai, China

    Li Jia

  6. Shanghai University, Shanghai, China

    Zhou Su

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Chen, L., Pan, X., Yang, A., Xu, Y. (2017). Towards Visual Human Tracking of Quadcopter: A Survey. In: Fei, M., Ma, S., Li, X., Sun, X., Jia, L., Su, Z. (eds) Advanced Computational Methods in Life System Modeling and Simulation. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 761. Springer, Singapore. https://doi.org/10.1007/978-981-10-6370-1_59

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  • DOI: https://doi.org/10.1007/978-981-10-6370-1_59

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  • Online ISBN: 978-981-10-6370-1

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