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http://dx.doi.org/10.6109/jicce.2011.9.3.347

Marine Object Detection Based on Kalman Filtering  

Hwang, Jae-Jeong (Department of Electronic & Information Eng., Kunsan National University)
Pak, Sang-Hyon (DICS Vision Co., Ltd.)
Park, Gil-Yang (DICS Vision Co., Ltd.)
Publication Information
Journal of information and communication convergence engineering / v.9, no.3, 2011 , pp. 347-352 More about this Journal
Abstract
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.
Keywords
Radar-camera integrated system; Kalman Filtering; Region growing segmentation; Moving object detection;
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