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Research on UAV Human Tracking Method Based on Vision

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Communications, Signal Processing, and Systems (CSPS 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 878))

Abstract

Based on the Adaboost method and the MHT multi-hypothesis tracking algorithm, the DMW dynamic minimum window algorithm is proposed to detect and track the human body image. It optimizes the image processing speed, and achieves the effect of smooth operation on the mobile processor. Combining this algorithm with UAV target tracking application scenarios, a complete UAV visual tracking system design scheme is proposed. In the system implementation, the third-generation Raspberry Pi's quad-core A53 processor is used. According to the work flow of image acquisition, target detection and tracking, and drone flight control, the automatic tracking flight function is successfully realized. The effect of algorithm application is evaluated qualitatively and quantitatively.

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Author information

Authors and Affiliations

  1. School of Intelligence and Electronic Engineering, Dalian Neusoft University of Information, Dalian, 116023, China

    Sun Xiaodong, Wang Zhiqiang, Zhang Yao & Wang Yijia

Authors
  1. Sun Xiaodong
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  2. Wang Zhiqiang
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  3. Zhang Yao
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  4. Wang Yijia
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Corresponding author

Correspondence to Sun Xiaodong .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. Tianjin Normal University, Tianjin, China

    Wei Wang

  3. Dalian University of Technology, Dalian, China

    Xin Liu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Xiaodong, S., Zhiqiang, W., Yao, Z., Yijia, W. (2022). Research on UAV Human Tracking Method Based on Vision. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2021. Lecture Notes in Electrical Engineering, vol 878. Springer, Singapore. https://doi.org/10.1007/978-981-19-0390-8_14

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  • DOI: https://doi.org/10.1007/978-981-19-0390-8_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0389-2

  • Online ISBN: 978-981-19-0390-8

  • eBook Packages: EngineeringEngineering (R0)

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