20 June 2014 Vision-based target detection in marine search and rescue
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Abstract
In this paper, we propose a vision-based target detection scheme based on video saliency to find the rescue targets automatically. A new definition of video saliency is first proposed to comprehend the target properties based on structure similarity among adjacent video frames. Then, a cascaded target detection is devised with the local image feature and regional video saliency. We treat the salient objects in aerial images as a basic feature and filter the false candidates based on the region-based video saliency. The propose method can improve the search and rescue of targets, and reduce the economical losses in marine accidents.
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Shining Wang, Xiujuan Yu, "Vision-based target detection in marine search and rescue", Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90911H (20 June 2014); doi: 10.1117/12.2053260; https://doi.org/10.1117/12.2053260
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