Flash communication pattern analysis of fireflies based on computer vision

International Journal of Advances in Intelligent Informatics

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Title Flash communication pattern analysis of fireflies based on computer vision
Creator Tathawee, Thanaban
Wattanachaiyingcharoen, Wandee
Suwannakom, Anantachai
Prasarnpun, Surisak
Subject firefly; computer vision; flash pattern; high-throughput; software
Description Previous methods for detecting the flashing behavior of fireflies were using either a photomultiplier tube, a stopwatch, or videography. Limitations and problems are associated with these methods, i.e., errors in data collection and analysis, and it is time-consuming. This study aims to applied a computer vision approach to reduce the time of data collection and analysis as compared to the videography methods by illuminance calculation, time of flash occurrence, and optimize the position coordinate automatically and tracking each firefly individually. The Validation of the approach was performed by comparing the flashing data of male fireflies, Sclerotia aquatilis that was obtained from the analysis of the behavioral video. The pulse duration, flash interval, and flash patterns of S. aquatilis were similar to a reference study. The accuracy ratio of the tracking algorithm for tracking multiple fireflies was 0.94. The time consumption required to analyze the video decreased up to 96.82% and 76.91% when compared with videography and the stopwatch method, respectively. Therefore, this program could be employed as an alternative technique for the study of fireflies flashing behavior.
Publisher Universitas Ahmad Dahlan
Contributor Naresuan University
Science Achievement Scholarship of Thailand
Date 2020-03-31
Type info:eu-repo/semantics/article

Format application/pdf
Identifier http://ijain.org/index.php/IJAIN/article/view/367
Source International Journal of Advances in Intelligent Informatics; Vol 6, No 1 (2020): March 2020; 60-71
Language eng
Relation http://ijain.org/index.php/IJAIN/article/view/367/ijain_v6i1_p60-71
Rights https://creativecommons.org/licenses/by-sa/4.0

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