Projects per year
Abstract
This paper presents a clustering approach to estimating the number of individuals present in a set of Amphiprion clarkii (clownfish) observed live from a Taiwanese coral reef. Previous approaches to individual identification have addressed species where there are many individuals with some distinctive pattern and few observations of each. By contrast, fish observations from a fixed camera tend to produce many observations of a few individuals, whose differences in appearance are more quantitative than qualitative. The paper describes a k-means clustering approach to estimating the number of individuals. Although there is no absolute ground truth (e.g. from tagging),
our data analysis shows 6 or 7 individuals were present in a collection of 785 observations.
our data analysis shows 6 or 7 individuals were present in a collection of 785 observations.
Original language | English |
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Title of host publication | Proceedings of Visual Observation and Analysis of Vertebrate And Insect Behavior 2016 |
Number of pages | 4 |
Publication status | Published - 4 Dec 2016 |
Event | Visual Observation and Analysis of Vertebrate And Insect Behavior 2016 - Cancun, Mexico Duration: 4 Dec 2016 → 4 Dec 2016 http://www.icpr2016.org/site/ |
Conference
Conference | Visual Observation and Analysis of Vertebrate And Insect Behavior 2016 |
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Abbreviated title | VAIB 2016 |
Country/Territory | Mexico |
City | Cancun |
Period | 4/12/16 → 4/12/16 |
Internet address |
Fingerprint
Dive into the research topics of 'Identifying Individual Clown Fish'. Together they form a unique fingerprint.Projects
- 2 Finished
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Fish4Knowledge: Fish4Knowledge: Supporting humans in knowledge gathering and question answering wrt marine and environmental monitoring through analysis of multiple video streams
Fisher, B. (Principal Investigator) & Chen-Burger, J. (Co-investigator)
1/10/10 → 30/09/13
Project: Research
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Fish4Knowledge: Fish4Knowledge: Supporting humans in knowledge gathering and question answering wrt marine and environmental monitoring through analysis of multiple video streams
Fisher, B. (Principal Investigator) & Chen-Burger, J. (Co-investigator)
1/10/10 → 30/09/13
Project: Research