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Activity and flight trajectory monitoring of mosquito colonies for butomated behaviour analysis
conference contribution
posted on 2015-01-01, 00:00 authored by B Khan, Julie Gaburro, Samer HanounSamer Hanoun, J B Duchemin, Saeid Nahavandi, Asim BhattiAsim BhattiMonitoring 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.
History
Event
Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)Series
Lecture Notes in Computer Science; 9492Pagination
548 - 555Publisher
SpringerLocation
Istanbul, TurkeyPlace of publication
Berlin, GermanyPublisher DOI
Start date
2015-11-09End date
2015-11-12ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319265605Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2015, SpringerEditor/Contributor(s)
S Arik, T Huang, W Lin, Q LiuTitle of proceedings
ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedingsUsage metrics
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