Deakin University
Browse

File(s) under permanent embargo

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

Version 2 2024-06-04, 03:03
Version 1 2016-01-12, 14:04
conference contribution
posted on 2024-06-04, 03:03 authored by B Khan, J Gaburro, Samer HanounSamer Hanoun, JB Duchemin, S Nahavandi, Asim BhattiAsim Bhatti
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.

History

Pagination

548-555

Location

Istanbul, Turkey

Start date

2015-11-09

End date

2015-11-12

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319265605

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2015, Springer

Editor/Contributor(s)

Arik S, Huang T, Lin W, Liu Q

Title of proceedings

ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings

Event

Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Computer Science; 9492