Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning.

ABSTRACT:

Background

Mosquitoes are carriers of tropical diseases, thus demanding a comprehensive understanding of their behaviour to devise effective disease control strategies. In this article we show that machine learning can provide a performance assessment of 2D and 3D machine vision techniques and thereby guide entomologists towards appropriate experimental approaches for behaviour assessment. Behaviours are best characterised via tracking-giving a full time series of information. However, tracking systems vary in complexity. Single-camera imaging yields two-component position data which generally are a function of all three orthogonal components due to perspective; however, a telecentric imaging setup gives constant magnification with respect to depth and thereby measures two orthogon

SUBMITTER: Qureshi YM 

PROVIDER: S-EPMC11218242 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature