DocumentCode :
2544605
Title :
Target detection of maritime search and rescue: Saliency accumulation method
Author :
Ren Lei ; Shi Chaojian ; Ran Xin
Author_Institution :
Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1972
Lastpage :
1976
Abstract :
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.
Keywords :
emergency services; frequency-domain analysis; image colour analysis; image segmentation; image sequences; marine engineering; object detection; LAB space; binary saliency map; color channels; frequency domain; image thresholding; intensity channel; local saliency; maritime search-and-rescue; saliency accumulation method; sea clutter reduction; space domain; spectral residual; target detection; visual image sequence frame; weighted feature; Cameras; Clutter; Feature extraction; Frequency domain analysis; Object detection; Strontium; Visualization; maritime search and rescue; saliency map accumulation; target detection; visual attention;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6233916
Filename :
6233916
Link To Document :
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