Flash communication pattern analysis of fireflies based on computer vision

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 co...

Full description

Saved in:
Bibliographic Details
Main Authors: Tathawee, Thanaban (Author), Wattanachaiyingcharoen, Wandee (Author), Suwannakom, Anantachai (Author), Prasarnpun, Surisak (Author)
Other Authors: Naresuan University (Contributor), Science Achievement Scholarship of Thailand (Contributor)
Format: EJournal Article
Published: Universitas Ahmad Dahlan, 2020-03-31.
Subjects:
Online Access:Get Fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02609 am a22003133u 4500
001 IJAIN_367_ijain_v6i1_p60-71
042 |a dc 
100 1 0 |a Tathawee, Thanaban  |e author 
100 1 0 |a Naresuan University  |e contributor 
100 1 0 |a Science Achievement Scholarship of Thailand  |e contributor 
700 1 0 |a Wattanachaiyingcharoen, Wandee  |e author 
700 1 0 |a Suwannakom, Anantachai  |e author 
700 1 0 |a Prasarnpun, Surisak  |e author 
245 0 0 |a Flash communication pattern analysis of fireflies based on computer vision 
260 |b Universitas Ahmad Dahlan,   |c 2020-03-31. 
500 |a https://ijain.org/index.php/IJAIN/article/view/367 
520 |a 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. 
540 |a Copyright (c) 2020 Thanaban Tathawee, Wandee Wattanachaiyingcharoen, Anantachai Suwannakom, Surisak Prasarnpun 
540 |a https://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
690 |a firefly; computer vision; flash pattern; high-throughput; software 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n International Journal of Advances in Intelligent Informatics; Vol 6, No 1 (2020): March 2020; 60-71 
786 0 |n 2548-3161 
786 0 |n 2442-6571 
787 0 |n https://ijain.org/index.php/IJAIN/article/view/367/ijain_v6i1_p60-71 
856 4 1 |u https://ijain.org/index.php/IJAIN/article/view/367/ijain_v6i1_p60-71  |z Get Fulltext