Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Target Tracking based on Kernelized Correlation Filter Using MWIR and SWIR Sensors

MWIR 및 SWIR 센서를 이용한 커널상관필터기반의 표적추적

  • Sungu Sun (Laser weapon system PMO, Agency for Defense Development) ;
  • Yuri Lee (Laser weapon system PMO, Agency for Defense Development) ;
  • Daekyo Seo (Laser weapon system PMO, Agency for Defense Development)
  • 선선구 (국방과학연구소 레이저무기체계단) ;
  • 이유리 (국방과학연구소 레이저무기체계단) ;
  • 서대교 (국방과학연구소 레이저무기체계단)
  • Received : 2022.11.23
  • Accepted : 2023.01.30
  • Published : 2023.02.05
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Abstract

When tracking small UAVs and drone targets in cloud clutter environments, MWIR sensors are often unable to track targets continuously. To overcome this problem, the SWIR sensor is mounted on the same gimbal. Target tracking uses sensor information fusion or selectively applies information from each sensor. In this case, parallax correction using the target distance is often used. However, it is difficult to apply the existing method to small UAVs and drone targets because the laser rangefinder's beam divergence angle is small, making it difficult to measure the distance. We propose a tracking method which needs not parallax correction of sensors. In the method, images from MWIR and SWIR sensors are captured simultaneously and a tracking error for gimbal driving is chosen by effectiveness measure. In order to prove the method, tracking performance was demonstrated for UAVs and drone targets in the real sky background using MWIR and SWIR image sensors.

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References

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