Yellow rectangles represent detected obstacles (OBs), blue rectangles represent possible obstacles (POBs). The number next to each rectangle is the likelihood of either a POB or an OB. The red line corresponds to the detected horizon. In this case, we considered one false positive (bottom shore reflection), and one true positive (right buoy) only.</p
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
The crosses correspond to the maximum gradient in the vertical stripes (not shown) for the RANSAC-on...
Abstract — Five algorithms designed to find a horizontal line separating sea and sky in marine image...
Video images captured at long range often show low-contrast floating objects of interest on a sea su...
<p>The probabilistic shows the probability of each cell to be observed, ranging from blue (low proba...
In modern warfare scenarios naval ships must operate in coastal environments. These complex environm...
The red circle represents the ship that should be detected but is not detected. Inset: the raw image...
In harbour environments operators perform tasks as detection and classification. Present-day threats...
We introduce algorithms to visualize feature spaces used by object detectors. Our method works by in...
In this paper, we propose an underwater object detection method using monocular vision sensors. In a...
This paper provides a benchmark of the performance of 23 classical and state-of-the-art background s...
he optical clarity of littoral waters directly impacts the performance of optics-based Navy systems ...
<p>(A)-(B) The true MAs with low contrast. (C) The vessel crossing with high contrast. (D)-(E) The n...
This work reviews the problem of object detection in underwater environments. We analyse and quantif...
Present-day naval operations take place in coastal environments as well as narrow straits all over t...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
The crosses correspond to the maximum gradient in the vertical stripes (not shown) for the RANSAC-on...
Abstract — Five algorithms designed to find a horizontal line separating sea and sky in marine image...
Video images captured at long range often show low-contrast floating objects of interest on a sea su...
<p>The probabilistic shows the probability of each cell to be observed, ranging from blue (low proba...
In modern warfare scenarios naval ships must operate in coastal environments. These complex environm...
The red circle represents the ship that should be detected but is not detected. Inset: the raw image...
In harbour environments operators perform tasks as detection and classification. Present-day threats...
We introduce algorithms to visualize feature spaces used by object detectors. Our method works by in...
In this paper, we propose an underwater object detection method using monocular vision sensors. In a...
This paper provides a benchmark of the performance of 23 classical and state-of-the-art background s...
he optical clarity of littoral waters directly impacts the performance of optics-based Navy systems ...
<p>(A)-(B) The true MAs with low contrast. (C) The vessel crossing with high contrast. (D)-(E) The n...
This work reviews the problem of object detection in underwater environments. We analyse and quantif...
Present-day naval operations take place in coastal environments as well as narrow straits all over t...
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific res...
The crosses correspond to the maximum gradient in the vertical stripes (not shown) for the RANSAC-on...
Abstract — Five algorithms designed to find a horizontal line separating sea and sky in marine image...