• Title/Summary/Keyword: Radar-camera integrated system

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Maritime Object Segmentation and Tracking by using Radar and Visual Camera Integration

  • Hwang, Jae-Jeong;Cho, Sang-Gyu;Lee, Jung-Sik;Park, Sang-Hyon
    • Journal of information and communication convergence engineering
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    • v.8 no.4
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    • pp.466-471
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    • 2010
  • We have proposed a method to detect and track moving ships using position from Radar and image processor. Real-time segmentation of moving regions in image sequences is a fundamental step in the radar-camera integrated system. Algorithms for segmentation of objects are implemented by composing of background subtraction, morphologic operation, connected components labeling, region growing, and minimum enclosing rectangle. Once the moving objects are detected, tracking is only performed upon pixels labeled as foreground with reduced additional computational burdens.

Marine Object Detection Based on Kalman Filtering

  • Hwang, Jae-Jeong;Pak, Sang-Hyon;Park, Gil-Yang
    • Journal of information and communication convergence engineering
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    • v.9 no.3
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    • pp.347-352
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    • 2011
  • In this paper, although Radar has been used for a long time, integrated scheme with visual camera is an efficient way to enhance marine surveillance system. Camera image is focused by radar information but it is easy to be fallen into inaccurate operation due to environmental noises. We have proposed a method to filter the noises by moving average filter and Kalman filter. It is proved that Kalman filtered results preserves linearity while the former includes larger variance.