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Link to original content: https://doi.org/10.1007/s10846-021-01483-2
High-frame-rate Video-based Multicopter Tracking System Using Pixel-level Short-time Fourier Transform | Journal of Intelligent & Robotic Systems Skip to main content
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High-frame-rate Video-based Multicopter Tracking System Using Pixel-level Short-time Fourier Transform

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Abstract

In this study, we develop a telephoto pan-tilt drone search and track system for multicopters flying in a wide area spanning hundreds of meters, situated at a distance of hundreds of meters. It can detect periodic brightness changes around the drone propellers, which rotate at a high speed, in a high-frame-rate (HFR) video. The temporal frequency responses of the brightness signals in the HFR video are computed by performing pixel-level short-time Fourier transforms (STFTs) of the signals. By detecting the peak frequencies, the drone propellers are localized as vibration sources, and their rotation speed is estimated to monitor the flight status of the drone. For real-time localization and flight monitoring, the proposed system can perform pixel-level STFTs in a 500 fps video of 720×540 pixels using video processing accelerated by graphic processing units. This allows a multicopter to be tracked in real time at the center of the camera view by a galvanomirror pan-tilt active vision system with visual feedback. We verified its effectiveness by examining HFR videos for flying multicopters of different appearance, and conducted tracking experiments in outdoor scenes involving multicopters flying at an altitude of 70 m and 200 m ahead in a mountainous background.

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Funding

This work was supported in part by MIC (Ministry of Internal Affairs and Communications, Japan) Strategic Information and Communications R&D Promotion Programme under Grant 181608001.

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Authors and Affiliations

  1. Digital Monozukuri (Manufacturing) Education Research Center, Hiroshima University, Higashihiroshima, Japan

    Kohei Shimasaki

  2. Kubota Corporation, Osaka, Japan

    Nagahiro Fujiwara

  3. Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan

    Shaopeng Hu, Taku Senoo & Idaku Ishii

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  1. Kohei Shimasaki
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  2. Nagahiro Fujiwara
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  3. Shaopeng Hu
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  4. Taku Senoo
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  5. Idaku Ishii
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Correspondence to Idaku Ishii.

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Shimasaki, K., Fujiwara, N., Hu, S. et al. High-frame-rate Video-based Multicopter Tracking System Using Pixel-level Short-time Fourier Transform. J Intell Robot Syst 103, 36 (2021). https://doi.org/10.1007/s10846-021-01483-2

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