Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.20965/jrm.2013.p0820 | JOURNAL OF ROBOTICS AND MECHATRONICS |
Keywords | Field | DocType |
dynamic image processing, ecology observation, color orientation code matching, multiple-templates, particle filter | Computer vision,Computer science,Particle filter,Image processing,Artificial intelligence,Marine life,Digital image processing | Journal |
Volume | Issue | ISSN |
25 | 5 | 0915-3942 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yasutake Okuda | 1 | 0 | 0.34 |
Hiroki Kamada | 2 | 0 | 0.34 |
Satoru Takahashi | 3 | 3 | 1.41 |
Shun'ichi Kaneko | 4 | 230 | 35.34 |
Kuniaki Kawabata | 5 | 187 | 51.01 |
Fumiaki Takemura | 6 | 44 | 11.50 |