Object detection and tracking for autonomous underwater robots using weighted template matching

@article{Kim2012ObjectDA,
  title={Object detection and tracking for autonomous underwater robots using weighted template matching},
  author={Donghoon Kim and Donghwa Lee and Hyun Myung and Hyun Jin Choi},
  journal={2012 Oceans - Yeosu},
  year={2012},
  pages={1-5}
}
Underwater environment has a noisy medium and limited light source, so underwater vision has disadvantages of the limited detection range and the poor visibility. However it is still attractive in close range detections, especially for navigation. Thus, in this paper, vision-based object detection (template matching) and tracking (mean shift tracking) techniques for underwater robots using artificial objects have been studied. Also, we propose a novel weighted correlation coefficient using the… CONTINUE READING

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Development of Underwater Object Detection Method Base on Color Feature

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