Target detection of maritime search and rescue: Saliency accumulation method

Target detection using visual image sequence is an important task of maritime search and rescue. A novel saliency accumulation approach is proposed. Each frame of image sequence is firstly transformed to LAB space. The saliency maps for two color channels and intensity channel are obtained by spectr...

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Bibliographic Details
Published in2012 9th International Conference on Fuzzy Systems and Knowledge Discovery pp. 1972 - 1976
Main Authors Ren Lei, Shi Chaojian, Ran Xin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Cameras
Clutter
Feature extraction
Frequency domain analysis
maritime search and rescue
Object detection
saliency map accumulation
Strontium
target detection
visual attention
Visualization
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Summary:Target detection using visual image sequence is an important task of maritime search and rescue. A novel saliency accumulation approach is proposed. Each frame of image sequence is firstly transformed to LAB space. The saliency maps for two color channels and intensity channel are obtained by spectral residual in frequency domain and the local saliency in space domain taking advantages of both approaches. Then saliency map of every frame is fusion of those from each weighted feature. In order to reduce the sea clutters or detect the weak small target, the saliency maps from successive frames are accumulated to reach a binary saliency map by applying a threshold. The approach is simple and effective. Experiments are conducted to demonstrate the validity of proposed approach for target detection in maritime search and rescue.
ISBN:9781467300254
146730025X
DOI:10.1109/FSKD.2012.6233916