Target detection in maritime search and rescue using SVD and frequency domain characteristics

Ren, Lei; Shi, Chaojian; Ran, Xin

doi:10.1109/icmlc.2011.6016763

Cited by 3 publications

(1 citation statement)

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“…For example, Wu and Li researched the visual attention mechanism in sea environment [12], and also they employed this model to construct moving maritime target detection and tracking system [13]. Ren et al first detected the scattered targets on the sea surface from the difference between the original image and the dominant sea clutter or sky component via singular value decomposition, and then obtained the salient targets in MSAR using spectral residual and phase spectrum of Fourier transform [14]. However, they only capture the edges or contours of large objects without the internal parts.…”

Section: Prior Work On Target Detection In Msarmentioning

confidence: 99%

Vision-based target detection in marine search and rescue

Wang

2014

SPIE Proceedings

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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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Section: Prior Work On Target Detection In Msarmentioning

confidence: 99%