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Long-Term Target Tracking for UAV Based on Correlation Filter

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

During UAV target tracking, there still exist some issues such as severe deformation, scale variance, occlusion and even fast motion. In this paper, we propose a more stable, real-time and long-term target tracking algorithm based on correlation filter for these problems. Our proposed tracker mainly included the movement and scale transformation module, which can achieves the precise area of target by combining different scale transformation based on multiple position points. In addition, we exploit the keypoint-based method to solve the redetection issue caused by target disappearance in the UAV long-term tracking process, which ensure stability of the entire system. In this paper, we verify our algorithm on the representative UAV data set called UAV123. The experimental results show that our tracker performs superiorly against several traditional methods at speed of 26 frames per second during tracking.

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Acknowledgements

This work was supported in part by the National Natural Sciences Foundation of China (NSFC) under Grant 61525103, and the Shenzhen Fundamental Research Project under Grant JCYJ20150930150304185.

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Authors and Affiliations

  1. Communications Engineering Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China

    Qiao Xiao, Qinyu Zhang, Boqian Wu, Xiao Han & Xi Wu

Authors
  1. Qiao Xiao
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  2. Qinyu Zhang
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  3. Boqian Wu
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  4. Xiao Han
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  5. Xi Wu
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Corresponding author

Correspondence to Qinyu Zhang .

Editor information

Editors and Affiliations

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

    Qilian Liang

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

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

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

    Wei Wang

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

    Xuhong Feng

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

    Baoju Zhang

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Xiao, Q., Zhang, Q., Wu, B., Han, X., Wu, X. (2019). Long-Term Target Tracking for UAV Based on Correlation Filter. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_324

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_324

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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