DocumentCode :
3046369
Title :
Incremental Tree Induction for Detection of the Rescue Target in the Marine Casualty
Author :
Ran, Xin ; Zhang, Yongxin
Author_Institution :
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
Volume :
4
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
432
Lastpage :
435
Abstract :
In the case that a marine casualty occurs, the detection of the rescue target such as life rafts is surely required to carry out the prompt rescue of human life.To detect the small target in the wide views over the sea, we have proposed a new method including the feature extraction techniques based on the color information and the system learning method based on incremental tree induction. The color information derived from the image data is used to construct the incremental tree which can update online to adapt well to the real time circumstance. The experimental results show that the proposed method is efficient to detect the small target in cluttered natural scene.
Keywords :
decision trees; feature extraction; image colour analysis; learning (artificial intelligence); marine accidents; marine safety; cluttered natural scene; color information; decision tree; feature extraction technique; image data; incremental tree induction; machine learning; marine casualty; rescue target detection; system learning method; Costs; Decision trees; Eyes; Humans; Image processing; Intelligent systems; Pattern recognition; Radio access networks; Real time systems; Sea surface; Incremental tree induction; Marine casualty; target detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.394
Filename :
5209265
Link To Document :
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