Integrating real-time data analysis into automatic tracking of social insects.

ABSTRACT: Automatic video tracking has become a standard tool for investigating the social behaviour of insects. The recent integration of computer vision in tracking technologies will probably lead to fully automated behavioural pattern classification within the next few years. However, many current systems rely on offline data analysis and use computationally expensive techniques to track pre-recorded videos. To address this gap, we developed BACH (Behaviour Analysis maCHine), a software that performs video tracking of insect groups in real time. BACH uses object recognition via convolutional neural networks and identifies individually tagged insects via an existing matrix code recognition algorithm. We compared the tracking performances of BACH and a human observer (HO) across a series of short v

SUBMITTER: Sclocco A 

PROVIDER: S-EPMC8074946 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature