Activity and flight trajectory monitoring of mosquito colonies for butomated behaviour analysis

Khan, Burhan, Gaburro, Julie, Hanoun, Samer, Duchemin, Jean-Bernard, Nahavandi, Saeid and Bhatti, Asim 2015, Activity and flight trajectory monitoring of mosquito colonies for butomated behaviour analysis, in ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Springer, Berlin, Germany, pp. 548-555, doi: 10.1007/978-3-319-26561-2_65.

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Title Activity and flight trajectory monitoring of mosquito colonies for butomated behaviour analysis
Author(s) Khan, Burhan
Gaburro, JulieORCID iD for Gaburro, Julie orcid.org/0000-0001-6609-6429
Hanoun, SamerORCID iD for Hanoun, Samer orcid.org/0000-0002-8697-1515
Duchemin, Jean-Bernard
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Bhatti, AsimORCID iD for Bhatti, Asim orcid.org/0000-0001-6876-1437
Conference name Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)
Conference location Istanbul, Turkey
Conference dates 9-12 Nov. 2015
Title of proceedings ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings
Editor(s) Arik, Sabri
Huang, Tingwen
Lin, Weng Kin
Liu, Qingshan
Publication date 2015
Series Lecture Notes in Computer Science; 9492
Start page 548
End page 555
Total pages 8
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) 3D tracking
behaviour analysis
camera placement
mosquito activity
Summary Monitoring and tracking of mosquitoes using image processing is important to facilitate the mosquitos’ behaviour analysis automatically over longer period of times. In this paper, we propose a simple methodology to monitor mosquitos’ activity using multiple cameras optimally placed. In order to ensure optimal camera coverage for the area of observation and desired image quality; we propose to simulate the experimental setup in a 3D virtual environment to obtain one-off optimum camera placement parameters. Our proposed methodology is demonstrated to have improved the activity monitoring process using two cameras for accurate count of occluded mosquitoes and 3D trajectory path reconstruction. This framework will enable working out more challenging tasks of constructing 3D trajectories using information received from multiple low quality cameras, which provide inconsistent and discontinuous trajectories.
ISBN 9783319265605
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-26561-2_65
Field of Research 080104 Computer Vision
080106 Image Processing
060201 Behavioural Ecology
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080684

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
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