Method of Dynamic Image Processing for Ecology Observation of Marine Life
Author(s) -
Y. Okuda,
Hiroki Kamada,
Satoru Takahashi,
Shun’ichi Kaneko,
Kuniaki Kawabata,
Fumiaki Takemura
Publication year - 2013
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2013.p0820
Subject(s) - computer science , image processing , image (mathematics) , ecology , matching (statistics) , filter (signal processing) , computer vision , artificial intelligence , environmental science , mathematics , biology , statistics
Changes in the marine environment due to changes in the global environment are problems that have attracted attention in recent years. Consequently, the measurement of marine life forms and the surveying and studying of ecological systems have been extensively conducted from the viewpoint of environmental conservation. This paper proposes a new dynamic image processing method. It enables dynamic measurement of marine life, based on the dynamic images obtained by a marine ecological system measurement and recording support device that consists of various sensor nodes. A dynamic-image marine life detection method in which multi-template matching based on color orientation code matching is applied, and a method of motion estimating marine life, one in which a particle filter consisting of a double-likelihood function is used, are combined to develop a new dynamic image processing method and conduct ecology observations.
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